Multi-lens moving object tracking assembly image processing system

Abstract

A head-mounted system for tracking moving objects such as balls comprises two banks of lenses, each bank comprising three respective lenses or cameras (L1-3, R1-3) with each lens in one bank being pai

Description

Description 1, A blue-tooth connected lens assembly with ball tracking and other data gathering capabilities in order to track (a) moving object(s) and to analyse a variety of sounds. 2, A lens assembly that comprises 2 sets of 3 lenses or more. fig1, fig8. 3, The CPU within the lens assembly uses trigonometry to calibrate the 2 banks of lenses with items of a known size and shape in a landscape. 4, Trigonometry identifies the space that the object occupies in time and space and this data is converted to digital coordinated data at ultra high speed. 5, The CPU creates a digital representation of the path of the object and will predict the onward trajectory of the object given collected data from timed data gathering segments. 6, The lens assemblies will take turns to collect an image, then process this image while the other bank of lenses processes this data and vice versa, fig.3 7, In the first instance the lenses mounted on the left side of the assembly records an image and produces a left field view perspective of the scene, fig. 3 8, While data is processed from the Left sided bank of lenses, the right sided bank of lenses records the next tiny part of the path from the right perspective and when this is done the process starts again, thus creating an accurate and detailed, mapped digitised tracked path that an object has taken and to predict the object will take if the object continues on the initial recorded and documented path, fig 2 9, In turn the left and right side of each side of the lens assembly builds up an accurate tracked path of the object and while one side processes the data the other side records the image data. fig. 2 10, The CPU is ‘trained’ to identify the moving object of interest in the image and to convert the pixels that represent this object into a digital representation of this, fig 4 11, The above computer generated digital representation can be overlayed over the existing scene in order to create a representation of the path of the object and also the estimated on-going path of the object, fig 5 12, The left and right perspectives allow for both high quality and highly accurate data recording which may only last a matter of a total of only a second. 13, The representation of the tracked image and the prediction of the ongoing path of the object can be overlayed onto another scene or image giving a predicted representation of a future path, fig 5 14, Tracks a high speed moving object and logs its position in time and space and is able to predict the objects onward path given collected data using triangulation 15, Has sound analysis by comparing the qualities of recorded sound over time with a known database of sounds and with sound identification software. 16, The lens assembly has full bluetooth and internet connectivity. 17, Data and / or images can be rewritten or shared on demand and the accompanying illustration fig2 shows camera attachments labeled, L1 L2 and L3 mounted on the left side and R1 R2 and R3 on the right side of the safety helmet. 18,The way the moving object can be tracked in time and space is by trigonometry known as triangulation which can be used to calculate and set in time and log the position of a moving object. fig3 19, The camera assemblies that track the path of a moving object using a lens assembly could be described as being a little like a four stroke internal combustion engine mainly because of the speed that this takes place. 20, Instead of the 1 induction 2 compression 3 Ignition and finally, 4 Exhaust, of an internal combustion engine that produces the power to drive a car, the four cycles of the moving object tracking helmet are used to plot the path and predict the onward path of a fast moving object. 21 ,The illustration shows 2 banks of 3 cameras, 3 on the left of the assembly and 3 on the right. 22, The left and right cameras work in conjunction with the corresponding camera on the other side of the assembly providing measured triangulation for each segment of captured footage of an identified moving object. 23, As in an internal combustion engine which changes the stroke of the engine over time, the function of each camera assembly also changes over time and this is in order to process data efficiently and in order to 1, capture images(induction) 2, tag and identify the position of images.(compression) 3, process data (ignition) and 4, send data (exhaust). 24, These processes are REPEATED in super fast succession over and over again. 25, Processed image data enables the build up of a digital representation of the tracked path of a fast moving object over a period of time. 26, The data plots from the left and right sided camera angle perspectives will not match up in a perfect line fig. 6 so fuzzy logic software will be used to predict a middle course fig7 which will be as near as possible the actual course of the tracked object as perceived in a way that is similar to the dual perspective of the human eye and brain. 27, Every plotted coordinate of a moving object rendered forth by the helmet’s cameras using measured triangulation will have a shift caused by 2 reasons that means each measurement will never plot a seemingly clear and coordinated path. 28,The 2 reasons for this are as follows;-1, the shift in perspective caused by the measuring lenses mounted at a known distance on either side of the helmet and, 2, the time at which each image was taken, which will be slightly different from all previously taken measured images. 29, These known shifts however do not alter the legitimacy of the coordinates. 30, When seen in conjunction with all other measured and plotted coordinates a middle path can be further plotted using fuzzy logic that will be an accurate and measured representation of the path of a moving object. 31, A lens assembly that has GPS connectivity. 32, A lens assembly that uses the position of known visual landmarks and objects as calibration and reference points in order to gather and process positional data. 33, A lens assembly that uses the position of known GPS landmarks and objects as calibration and reference points in order to gather and process positional data. 34, The coordinates rendered forth from the measured perspectives of L1-R1, &L2-R2, &L3-R3, fig 3, will produce a scattered pipe fig6 shaped path which will be wider than the actual moving object because of the angles of the dual perspective. 35, The tracked path of the ball is calculated using ‘fuzzy logic’, this can be described as the center of the coordinates or the ‘middle of the pipe’. fig4 36, A computer generated digital animated image of the tracked path of a moving object is produced and for example superimposed or overlayed onto a scene or image or any video output. 37, The illustration fig. 2, shows that each camera has its own flash data storage card (SD), allowing independant and fast processing of captured imagery, before delivering it to the CPU unit in order to produce outputs. 38, Thermal imaging cameras are used with this helmet as an option and these infra-red seeking cameras will track the path of multi or single objects that have (a) heat trace(s). 39, Fig 2 shows a CTU (Central Timer / coordinating Unit) that coordinates and sequences the timing of all the units in order that the processing of gathered imagery and data is processed at maximum efficiency and with high definition capability and this allows for machine like processing of said data from 6 lenses and 3 accurate perspectives using multi coordinates to track and predict the path of a moving object. 40, Fig 2 shows a CTU (Central Timer / coordinating Unit) that coordinates and sequences the timing of all the units in order that the processing of gathered imagery and data is processed at maximum efficiency and with high definition capability and this allows for machine like processing of said data from 6 lenses and 3 accurate perspectives using multi coordinates to track and predict the path of a moving object. 41, Fig.4 shows how fuzzy logic software is used to accurately track the path of a moving object. 42, Fig. 6 are coordinates created by measured triangulation on an image of a moving object. 43, Fig. 7 is the path that represents the centre of the coordinates from 3 pairs of twin lenses. 44, Fig. 5 is the predicted onward path of a moving object. 45, Triangulation is used in this instance to calculate, given the known distance between the two mounted lenses that represents one side of a triangle and the known angles at the time of the captured incident of two angles of the mounted lenses at the time of incident a positional coordinate using a GPS grid.

Claims

1, An image data processing system for a multi-lens object tracking lens assembly that has at least two calibrated banks of 3 lenses in order to provide metered perspective using triangulation and that uses processing hardware to analyse data from a microphone to analyse sound in order to determine the source of the sound and to analyse data from the camera lenses to perform ball tracking, and to provide data regarding the tracked path of a moving object to the wearer through an augmented information mask and / or headphones or other output device and novelty lies in a six lens image data processing system that consists of 3 pairs of measuring lenses that use known distances and angles to determine coordinates in order to produce a digital animated representation of the path and predicted furure path of a moving object and this representation can be overlayed or superimposed on to many types of output representations and the pairs of cameras work in conjunction and in turn with each other in order to optimise the capture, processing, and distribution of images, that are captured, processed and cycled in sequence and is then repeated at high speed in order to provide a tracked pathway that is further refined by the use of software that can plot a central pathway through the plotted coordinates that are produced by multi perspective measured coordinates that have been derived from triganomic triangulation calculation from captured image data and thermal imaging cameras can be used with the lens assembly as an option and these infra-red seeking cameras will track the path of multi or single objects that have (a) heat trace(s) and the inventive step lies in the system’s ability to process large amounts of visual data in a timely manner from 3 alternate measured perspectives.2, An image data processing system with a multi-lens assembly that comprises of 2 sets of 3 lenses or more and that in timed turns uses triangulation trigonometry to calibrate with items that are of a known size and shape in a landscape and uses triangulation to measure and track the known path of an identified moving object in time and space and that creates a digital representation of the path of the object and to predict the onward trajectory of the object given the historical collected data from timed data gathering segments and from in the first instance the lenses mounted of the left side of the lens assembly and giving a left field view perspective of the scene and then while this data is being processed the right sided bank of lenses records the next tiny part of the path from the right perspective and when this is done the process starts again and in turn the left and right side of each side of the assembly in order to build up an accurate tracked path of the object and while one side processes the data the other side records the image data and the CPU has been trained to identify the moving object of interest within the image and to convert the pixels that represent this object into a digital image that can be overlayed over the existing scene in order to create a representation of the pathof the object and also the estimated on-going path of the object and the left and right perspectives allow for both high quality and highly accurate data recording which may only last a matter of a few seconds and that uses sound identification software in order to idetify to produce measured outcomes and the assembly has blue tooth and internet connectivity and collected data or images can be rewritten, saved or shared upon demand and thermal imaging cameras can be used with this helmet as an option and these infra-red seeking cameras will track the path of multi or single objects that have (a) heat trace(s) and an inventive step lies in the system's ability to process large amounts of visual data in a timely manner from 3 alternate measured perspectives.

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