Moving object tracker phone attachment

Abstract

The attachment comprises a central camera and six tracking cameras arranged in a circle surrounding the central camera. A moving object, such as a ball, is detected in each frame captured by the tracking cameras, and the central pixel of the ball in the frame is determined. Using the known positional relationship of the tracking cameras, a known position of a reference object within the scene, and the central pixel of the ball in the frames, the ball’s location within the scene is determined. Using the determined position of the ball in each scene in each set of frames, the trajectory of the ball through the scene can be determined. The trajectory is animated and then superimposed onto the video captured by the central camera. The attachment connects to a mobile phone via a dock or via Bluetooth. The central camera may comprise the phone’s inbuilt camera.

Description

The Moving Object Tracking Mobile Phone Attachment is a multiple lens camera attachment for a mobile phone that turns a standard mobile phone into a highly accurate moving object tracking device that is used by placing a mobile phone within the docking recess that is in the centre of the device and then downloading the associated app which integrates the Moving Object Tracking Mobile Phone Attachment with the mobile phone so that it becomes a single unit consisting of a central mobile phone surrounded by an assembly of paired lenses that can track and capture moving object(s) within a scene for replay shortly after and that produces a highly accurate animated tracked image of the said previously aforementioned moving object. The Moving Object Tracking Mobile Phone Attachment consists of multiple pairs of cameras that work in tandem with its opposite paired camera in order to identify moving object(s) and calibration detail within the scene in order to produce positional data tags using trigonometry calculations in order to set the position of moving object(s) in a position in time and space so that this data can be recalled in order to form part of a highly accurate animated track of the ball and novelty lies in both the multi perspective arrangement of the cameras and the use of a mobile phone positioned at the centre of the earners lens assembly as the main image capture camera and this means that the cameras set around the main mobile phone capture camera are use triangulation to calculat positional data and to produce tags that record the position in space and time and that this data is later used to produce an animated replay image of the path of moving object(s) in time and space that compares the position of a shaped callibration points within an image that is identified by the software in order to calculate using triganomitory and triangulation the taged data points that make up the path of the animation that represents the travelled path of an object and hunders of thousands of these data points are produced in order to produce just a few seconds of replayed footage and fig. 1 shows an image of the assembly with a mobile phone with a camera lens central in the assembly with a configeration of multiple cameras that make up the ‘Moving Object Tracking Mobile Phone Attachment’ and the cameras are spaced and surrounding the said mobile phone in order to produce mutiple perspectives of the scene and fig. 50 shows the same view with the line drawn fig 80 showing the twinning between two opposite pairs of cameras of a known distance apart and fig, 51 is a view of a second camera pairing fig 81 giving a known distance between the lenses that produces an alternative perspective of the scene and finally fig 52 gives a third view and known distance of the scene with a different perspective see fig 82 and it is expected that the multiple perspective machine produced visual data that is produced by these multiple perspective cameras with be far more accurate than the naked human eye could ever be expected to perceive given the anticipated speed of the moving object and fig 2 shows how the known data is used fig3 shows a know distance between a pair of twinned cameras and fig4 shows a captured image of a moving object and fig 5 shows the angle produced from the left camera in order to capture the image and fig 6 shows the angle produced to capture the image from the right camera and fig 7 shows shows a mobile phone and fig 8 is demonstrating the information that be calculated using trigonometry and then the tagging information resulting in a positional data tag so this can later be modified when compared to the corresponding calibration data and fig 9 is 9a are cameras of a known distance apart and figures 10 and 10a are lines of incidence that form 2 sides of triangle the length of which is calculable with trigonometry as is the angle produced at fig. 11 and figs 12 represents positional positional data that attached to fig 13 that is a tag containing positional and time stamped tagged data and it is this captured and sent to the cloud in order to processed and compared to callibration data in order to produce a pixel reference relating the position of a moving object that represents 1 tiny pixel of data relating to the path of a moving object and fig 41a shows the lines of incedence fig 14 and the angles produced in a typical scence fig 34 and fig 35 reprenents the frame of scene produced by the cameras at fig 50 reference cameras fig 80 and fig 16 and 16a represent an arc higlighting the resultant angles produced by the lines of incedence and fig 50 represents a moving object and fig 32 represents the housing for a mobile phone unit and fig X represents items to be ignored by the frame scanning software and only the points of interest to the frame scanning software are shown as lines of incidence on fig 41a and these are the moving object fig 50 and the calibration object fig 33 all other items in the images on frames at fig. 34 and fig. 35 that were shown by the camera lenses at fig. 20 and 20a are ignored by the scanning software for example fig. X and fig 40a shows the lines of incidence produce by approximately one 200th of a second where all six cameras have been triggered in turn in pairs at a speed of one 600th of a second between each frame and figs 42 and 40b shows similar lines of incidence to that of fig 41 a however this represents phase 2 of image capture taking place approximately a 200th of a second after the first phase and it uses cameras at figs. 21 and 21a and fig 42 represents the lines of incidence produced by phase 3 of the image capture process at takes place approximately represented by fig 43 and this uses cameras at figs 22 and 22a and fig 40c shows one cycle lasting approximately a 200th of a second and fig 44 demonstrates with arcs at figs 45 50 &51 the angles produced by the line of incidence from fig 51 the Moving Object Tracking Mobile Phone Attachment and fig 50 the calibration object and fig 45 a moving object in approximately 1 / 200th of a second for example and the commercial and cost saving advantage of having a system that allows a mobile phone's connectivity and computer capacity to be coupled and utilised with the Moving Object Tracking Mobile Phone Attachment means that fast moving objects will be trackable at a reasonable cost for all who require this whether this is in a sporting, commercial or other setting and A multi-lens, multi-aspect, fast moving object tracking camera assembly and visual data processing system that utilises 7 cameras that are configured with a central cameras with 6 tracking cameras and that are evenly spaced in a circular pattern around a central image camera providing a centrally docked by a mobile phone docking port within the mobile phone camera attachment and the image produced by the central image and is the main image used and transmitted as the main scene feed while the software that scans and assesses the content of the 6 earners that work in conjunction with its opposite camera pairing, and each pair of cameras work in conjunction with its opposite, software is used to scan each individual frame to recognise a fast moving object of a certain size and shape, within the scene, for example a white ball that measures around 100mm and when this white shape is recognised by the system software it tags the scene frame with a sequenced reference identification reference and also gives the location of the pixel representing the the very centre of the identified white ball object, for example, a reference point within the scene by measuring the position of the pixel using a triangulation calculation using the pairs of cameras working together in conjunction, for example lenses and the scan also recognises a calibration object and produced data relating to the positional coordinates of the fixed calibration object with that of a moving object at a given time in space so the tracking camera produces data relating to angles and distance in conjunction with it’s opposite camera and this resulting data can be assessed with triangulation in order to produce coordinated that will form the part of an accurate tracking animation when called upon by the opperator in order to show an incident of a previous event that requires a second inspection and a difinative animation showing the tracked path of a moving object, pixel position data tag is sent to the cloud by 5 / 6G for processing along with a continual stream of data coming from all the pairs of cameras working in sequence and in a circular rotary scan of the scene and producing data in order to feed the cloud processing base with enough pixel data to produce an animated track of the object in order to feed a replay with a slowed down back from the cloud processing base to the chosen screen or AR device of choice of the user and the use of positional, and time tags are used to identify and sequence data in the cloud to produce an animated tracked representation of the path of the fast moving object superimposed onto to main feed image taken at the same time and and this application is in addition to application number GB2400370.9 as this application has the novel aspect of a main image capture camera that superimposes gathered data from from the scene as described above and superimposes it onto the main image scene of the required time period that renders forth a slowed down highly measured tracked path and the positioning of the tracking lenses in relation to the main capture cameras that will allow better multi aspect capture that can be rationalised by processing in the cloud and quickly returned to the user for information purposes and the novel positioning of these cameras give superior and equal perspectives in order to produce better positional data and I would like to claim the prior date of application number GB2400370.9 as the applications are linked by object tracking and the number of lenses and spacing of the distance between the lenses can be altered in order to meet the requirements in order to track the particular characteristics including size or shape of the moving tracked object and the configuration of the multiple cameras that use a central mobile phone camera as the main feed and that allows multi aspect digital processing of data from evenly spaced surrounding pairs of cameras that use triangulation and tagged data forwarded by 5 / 6 G to a processing centre or ‘the cloud’ in order to produce an accurate animated representation of a tracked moving object, a few seconds after the actual event has taken place, and the shape and configuration of the multiple pairs of cameras that allow triangulation to place using the optimum perspectives and aspect views given the position of the main feed central lens and this allows multi aspect digital processing of data from evenly spaced surrounding pairs of lenses that use triangulation to calculate positional data and to tag this data which is forwarded by 5 / 6 G to a processing centre or ‘the cloud’ in order to produce an accurate animated representation of a tracked moving object, a few seconds after the actual event has taken place and the shape and configuration of the multiple pairs of cameras that processes image data in a fast moving circular sequence around the central main capture camera that negates minor movements made by the wearer and An arrangement of cameras that has the effect of optimising the ability to track a moving object and replay the captured result quickly by having a central image that captures an image while the surrounding six cameras working in pairs send captured data using 5 or 6 G internet to a cloud central processing unit that collates the tagged data and assembles an animated replay on demand and this is sent back using a digital animated replay of an incident that had happened seconds earlier if called upon and the configuration of the lenses has the effect of negating real time movement by the wearer or operator of the equipment and the use of an independent centrally placed capture camera on to which a captured tracked path animation of an identified fast moving object is superimposed allows greater precision and faster data processing and replay times and fig 60 shows that all the data that is produced by each of the pairs of cameras that render different perspective views of a scene involving the tracked of a moving object are used illustrated by the dots representing said data at fig 61 and fuzzie logic is deplo to produce an animated single line represented at fig 62 and the dashed line at fig 63 represents the anticipated future predicted path of the moving object based on learned previous data and mobile phone technology with 5 or 6 G cloud conectability with capture lens and data storage and capacity married together with the multi aspect camera lenses contained in the Moving Object Tracking Mobile Phone Attachment will provide a cost effective solution to the occations when fast action is simply too fast for the naked human eye to interprett on its own and the multiple camera assembly accommodates a mobile phone within a docing station that is within the assembly and that said docking station places the mobile phone in the centre of the assembly and that this utilises the mobile phone’s main camera and lens for the purpore of caturing a scene that incluses a moving object and the assembly contains pairs of lenses arranged around the outside of the assembly so that each pair of lenses has its diameter running through the centre of the mobile phones camera lens and each pair of cameras produce a different perspective and each of the other pair of camaras that are captured is at a slightly different time and a slightly different perspective to the previously captured camera image and each pair of images produced by each pair of cameras has a perspective that can be measured using triangulation and this is compared with the image taken at the same time using triangulation to assess and calculate a data tag point that sets coordinates for a given place in time and space for a moving object that is recogmised by software and also a calibration object that is within the scene enables a fixed coordinate to be produced and this set of coordinates that is tagged with a time stamp in order to produce a tiny pixel reference that will form part of an animated replay and the cameras 5 / 6G internet conectivity is utilised to sent this gathered data for processing in the cloud and this data is simutainiously compared by software to calibrated recognised reference point within the scene and this reference point could be markings on a pitch or a set of goals on a pitch or a set of cricket wickets or a shaped object known to the software deliberatley placed within the scence as a callibration reference point when the data is captured and process it wll be possible for the opperator of the assembley to call for an animated replay of an event scene that recentlt occured and this is then sent and it will be in the form of an overlaid animation that will represent the highly accurate path of a moving object that will be overlayed or superimposed onto a previously captured video image that had been previously captured by the mobile phone’s captured video images and the above arrangement enables the capture and replay of an animated video of a moving object on demand so that the path of said object can be replayed extremely accurately showing a slowed down version of the said incident with a highly accurate replay of the moving tracked object and showing the object’s path in slow motion and this is a multiple camera assembly that as described that uses video capture to set moving objects in time and space in order to later produce an animated tracked path of a moving object that uses pairs of cameras to produce pairs of images that can be compared for shifts in perspective in order to produce coordinates set in time and tagged and the arrangement of the camera’s lenses allows multiple viewing angles to be produced in order that the position and shape of the recognised calibration object is able to set highly accurate coordinates in time and space and this data is included in a bundle called a tag which can later be recalled in order to produce data that will form the pixels to produce the animated path of a moving object that will be superimposed onto the original footage as shot by a mobile phone camera that has been installed within the assembly of the Mobile Phone Multiple Camera Assembly and the 5 / 6 G internet connection of the docked mobile phone is utilised for image processing and data capture and transmission.

Claims

1, A mobile phone camera attachment that is an assembly that accommodates a mobile phone within a docing station that is within the assembly and that said docking station places the mobile phone in the centre of the assembly and this utilises the mobile phone’s main camera and lens for the purpore of caturing a scene that incluses a moving object and the assembly contains pairs of lenses arranged around the outside of the assembly so that each pair of lenses has its diameter running through the centre of the mobile phones camera’s lens and each pair of cameras produce a different perspective and each of the other pair of camaras that are captured is at a slightly different time and a slightly different perspective to the previously captured camera image and each pair of images produced by each pair of cameras has a perspective that can be measured using triangulation and this is compared with the image taken at the same time using triangulation to assess and calculate a data tag point that sets coordinates for a given place in time and space for a moving object that is recognised by software and also a calibration object that is within the scene enables a fixed coordinate to be produced and this set of coordinates is tagged with an electronic time stamp in order to produce a tiny pixel reference package that will form part of an animated replay and the cameras 5 / 6G internet conectivity is utilised to sent this gathered data for processing in the cloud’s internet and this data is simutainiously compared by software to a calibrated recognised reference point within the scene and this reference point could be markings on a pitch or a set of goals on a pitch or a set of cricket wickets or a shaped object known and recognised by the software and that is deliberatley placed within the scence as a callibration reference point for perspective comparison data as this is captured and processed it wll be possible for the opperator of the assembley to call for an animated replay of an event scene that has recently occurred and this is then sent and is sent back from the cloud to the attachment assembly operator in the form of an overlaid animation that will represent the highly accurate path of a moving object that will be overlayed or superimposed onto a previously captured video image that had been previously captured by the mobile phone’s captured video images and the above arrangement enables the replay of an animated video of a moving object on demand so that the path of said object can be replayed extremely accurately showing a slowed down version of the said incident with a highly accurate replay of the moving tracked object and showing the object’s previous path in slow motion.Claims2, A multiple camera assembly that as described in claim 1, uses video capture to set moving objects in time and space in order to later produce an animated tracked path of a moving object that uses pairs of cameras to produce pairs of images that can be compared for shifts in perspective in order to produce coordinates set in time and tagged and the arrangement of the camera’s lenses allows multiple viewing angles to be produced in order that the position and shape of the recognised calibration object is able to set highly accurate coordinates in time and space and this data is included in a bundle called a tag which can later be recalled in order to produce data that will form the pixels to produce the animated path of a moving object that will be superimposed onto the original footage as shot by a mobile phone camera that has been installed within the assembly of the Mobile Phone Multiple Camera Assembly and the 5 / 6 G internet connection of the docked mobile phone is utilised for image processing and data capture and transmission.

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