180 results about "Computer vision algorithms" patented technology

A class of measurement devices can be made available using a family of projection patterns and image processing and computer vision algorithms. The proposed system involves a camera system, one or more structured light source, or a special pattern that is already drawn on the object under measurement. The camera system uses computer vision and image processing techniques to measure the real length of the projected pattern. The method can be extended to measure the volumes of boxes, or angles on planar surfaces.

A method and system for measurement of ground based vehicle speed includes a movable platform that includes an unmanned aerial vehicle (UAV) located in proximity to a roadway, the UAV operates under control and navigation of a UAV control unit, and the UAV also carries camera and monitoring equipment, the camera and monitoring equipment including an onboard computing system, and a camera with a wide angle lens and a camera with a telephoto lens, the cameras being mounted on a pan/tilt device. An algorithm operated by the on-board computing system is used to detect and track vehicles moving on a roadway. The algorithm is configured to detect and track the vehicles despite motion created by movement of the UAV. The cameras mounted on the pan/tilt device are moved under the direction of the computer vision algorithm to maintain a target vehicle of the detected moving vehicles in view, and the speed of the target vehicle is measured.

The present invention is a system and framework for augmenting any retail transaction system with information about the involved customers. This invention provides a method to combine the transaction data records and a customer or a group of customers with the automatically extracted demographic features (e.g., gender, age, and ethnicity), shopping group information, and behavioral information using computer vision algorithms. First, the system detects faces from face view, tracks them individually, and estimates poses of each of the tracked faces to normalize. These facial images are processed by the demographics classification module to determine and record the demographics feature vector. The system detects and tracks customers to analyze the dynamic behavior of the tracked customers so that their shopping group membership and checkout behavior can be recognized. Then the instances of faces and the instances of bodies can be matched and combined. Finally, the transaction data from the transaction data and the demographics, group, and checkout behavior data that belong to the same person or the same group of people are combined.

The present invention is a system and method for printing facial images of people, captured automatically from a sequence of images, onto coupons or any promotional printed material, such as postcards, stamps, promotional brochures, or tickets for movies or shows. The coupon can also be used as a means to encourage people to visit specific sites as a way of promoting goods or services sold at the visited site. The invention is named UCOUPON. A plurality of Computer Vision algorithms in the UCOUPON processes a plurality of input image sequences from one or a plurality of means for capturing images that is pointed at the customers in the vicinity of the system in an uncontrolled background. The coupon content is matched by the customer's demographic information, and primarily, the UCOUPON system does not require any customer input or participation to gather the demographic data, operating fully independently and automatically. The embodiment of the UCOUPON system can be integrated into any public place that requires the usage of coupons, such as existing checkout counters of the retail store environment. The UCOUPON can also be integrated into a stand-alone system, such as a coupon Kiosk system.

In one embodiment of the present invention, a programmable vision accelerator enables applications to collapse multi-dimensional loops into one dimensional loops. In general, configurable components included in the programmable vision accelerator work together to facilitate such loop collapsing. The configurable elements include multi-dimensional address generators, vector units, and load/store units. Each multi-dimensional address generator generates a different address pattern. Each address pattern represents an overall addressing sequence associated with an object accessed within the collapsed loop. The vector units and the load store units provide execution functionality typically associated with multi-dimensional loops based on the address pattern. Advantageously, collapsing multi-dimensional loops in a flexible manner dramatically reduces the overhead associated with implementing a wide range of computer vision algorithms. Consequently, the overall performance of many computer vision applications may be optimized.

The invention discloses a three-dimensional portrait shooting system and realizing method, which comprises the following steps: using common camera to shoot positive and lateral photos of portrait; adopting computer visual algorism to acquire three-dimensional geometrical model of head; projecting the photo as texture on the three-dimensional mould according to the projecting relationship of photo and geometrical model; obtaining the three-dimensional portrait model with photo-grade true sense; using spatial semi-tone method to modulate the space of texture grey image continuously; printing binary image approaching three-dimensional image on the visual observing effect in the artificial crystal through laser carving machine; forming the three-dimensional entity head portrait with true sense.

The present invention is a system and method for immersing facial images of people captured automatically from an image or a sequence of images into a live video playback sequence. This method allows viewers to perceive a participation in the viewed “movie” segment. A format is defined for storing the video such that this live playback of the video sequence is possible. A plurality of Computer Vision algorithms in the invention processes a plurality of input image sequences from the means for capturing images, which is pointed at the users in the vicinity of the system and performs the head detection and tracking. The interaction in the invention can be performed either in real-time or off-line depending on the embodiment of the invention in an uncontrolled background.

Methods and systems for ball shot attempt detection and game analytics generation are disclosed. The methods and systems perform steps to receive an input video of a ball gameplay, wherein the input video was captured using a stationary camera, and wherein frames of the input video comprises a goal; identify a Region of Interest (ROI) surrounding the goal by performing a first computer vision algorithm on the input video; detect a ball within the ROI during a shot attempt and determining a trajectory of the ball by performing a second computer vision algorithm on the input video; and identify a player relevant to the shot attempt based on the trajectory of the ball. In some embodiments, the computer vision algorithms comprise a convolution neural network (CNN). The present invention uses computer vision techniques to enable a resource-limited mobile device such as a smartphone to efficiently execute the new process.

The invention discloses a passenger flow statistics method based on a computer visual perception and system thereof. A video image collecting device can be placed at top end of an entrance or an exit of passages such as airport, subway, railway station, bus station, exhibition and so on to collect video images of passenger flows. A processor processes the video images collected by a computer visual perception algorithm to obtain a characteristic point of the image and to obtain a characteristic point trace by processing continuous image sequences within a period of time. Restricting the characteristic trace in time-space obtains smooth and continuous trace and clusters obtained characteristic traces to obtain number of passenger flows so as to obtain real time and accurate passenger flow information. The invention combines visual device and algorithm of computer to count number of the passenger flow accurately under a compact passenger flow circumstance. The obtained passenger flow information can be used as ground of safety monitor, operation management and line layout.

The present invention provides a method for reliably detecting change in the 3-D shape of objects. It uses an estimate of the accuracy of the 3-D models derived from a set of images taken simultaneously. This accuracy estimate is used to distinguish between significant and insignificant changes in 3-D models derived from different image sets. In one embodiment of the present invention, the accuracy of the 3-D model is estimated using self-consistency methodology for estimating the accuracy of computer vision algorithms. In another embodiment of the present invention, resampling theory is used to compare the mean or median elevation for each change in the models. This methodology allows for estimating, for a given 3-D reconstruction algorithm and class of scenes, the expected variation in the 3-D reconstruction of objects as a function of viewing geometry and local image-matching quality (referred to as a “score”). Differences between two 3-D reconstructions of an object that exceed this expected variation for a given significance level are deemed to be due to a change in the object's shape, while those below this are deemed to be due to uncertainty in the reconstructions.

A method and apparatus for detecting infrared image abnormality of electric power equipment in substation The invention adopts the latest depth learning and the computer vision algorithm to automatically analyze the infrared data and detect the abnormal heat through the collected infrared image or infrared video, which will greatly improve the efficiency and accuracy of the infrared image or infrared video detection. In the substation patrol robot with infrared imager, such intelligent infrared abnormal heating area and fault equipment type detection algorithm based on depth learning are embedded in the upper computer control system such as substation fixed-point monitoring track robot. Real-time infrared image or video detection will further improve the intelligent degree of these intelligent equipment, so as to achieve the real intelligent patrol.

The present invention relates to a video-based method of intense passenger flow counting and automatic detection of pedestrian speed, belonging to the computer vision technical field. The present invention adopts video capture device and process algorithm. Wherein, the video image capture device captures images through completed circuit television (CCTV ), normally with a camera set over the top of entrance and exit of passage way for real-time capture of video images of passengers in and out. The processor adopts computer vision algorithm to process the captured video images and identify the faces with Adaboost algorithm, with Harr characteristics as input, weak classifier weight combination to form a strong classifier, the strong classifier to form a waterfall-like cascading. Then calculation is triggered. The walking speed calculation of pedestrians is mainly based on tracking of the faces. The tracking starts as the pedestrian faces enter the detection zone and stops as the faces exit the detection zone. The keys to the walking speed calculation of pedestrians are targeting and tracking.

The subject disclosure is directed towards a hybrid stereo image/motion parallax system that uses stereo 3D vision technology for presenting different images to each eye of a viewer, in combination with motion parallax technology to adjust each image for the positions of a viewer's eyes. In this way, the viewer receives both stereo cues and parallax cues as the viewer moves while viewing a 3D scene, which tends to result in greater visual comfort/less fatigue to the viewer. Also described is the use of goggles for tracking viewer position, including training a computer vision algorithm to recognize goggles instead of only heads/eyes.

The invention discloses a computer vision based cigarette carton and box packing paper dimension measurement method. The method is characterized in that structured light is projected on the surface of a measured object by the aid of a structured light generator, the structured light forms modulated structured light as being subjected to modulation of surface topography of a sample to be measured, the structured light is subjected to imaging by a camera to obtain a digital image of the measured object, three-dimensional topography and to-be-measured information of the measured object are extracted from the digital image of the measured object according to a computer vision algorithm and an image processing method, dimensional measurement of the measured object is realized, and the measured object is cigarette carton or cigarette box packing paper. By the method, contactless automatic measurement of cigarette carton and box packing paper dimensions is realized, personal error is reduced effectively, and measurement precision and efficiency are improved.

A system and method using a single 3D motion sensing Microsoft Kinect for Windows augmented with computer vision algorithms for detecting, recognizing and tracking the movement of different joints of the body of a subject and deducing kinetic and kinematic data from those movements. The method requires only a single motion sensing device and is non-invasive as the subject does not need to wear any external devices on the body. The proposed method incorporates Second Life serious game environment where the patient, the therapist and other members of the community of interest can log-in any time and see all the subject's movements performed by an avatar in Second Life, thereby making the invention particularly useful for disabled hemiplegic children.

The invention provides an indoor human pose recognition method based on multi-sensor fusion and belongs to an indoor scene recognition method of a mobile robot. The method comprises the following steps: 1) deploying an optical sensor, a depth sensor and an infrared sensor; 2) acquiring images of the three sensors in the same scene and calibrating the images of the three sensors; 3) recognizing thecurrent real-time human pose with a pre-trained deep neural network. Fusion processing and comprehensive decision making are performed on data of the multiple sensors with machine learning and a computer vision algorithm, various limitations and bottlenecks of the traditional recognition method based on single sensor are solved, and the recognition accuracy and robustness for various indoor humanposes are improved greatly.

Disclosed is a computer vision-based blind man navigation method; the system of the method mainly comprises two modules, wherein, ultrasonic wave is used to detect obstacles, and a video-awareness part is used for blind man navigation; an image acquisition device captures images through an ordinary video camera; a processor processes the captured video images through computer vision algorithm; the klt algorithm is used for feature tracking; and the corner features are taken as inputs. Firstly, the camera is artificially carried to travel along the pre-determined route so as to extract the feature points of partial image frames at equal time interval; then the extracted feature points are stored in a database. When a blind man walls along the trained route again, the feature points of each image frame are extracted and compared with the feature points stored in the database so as to finally determine the advancing direction of the blind man in the next step; and the steering result outputted through the video-processing algorithm is transmitted to the blind through feeling and sound sensation to form the three-dimensional feedback information and achieve blind man navigation.

The invention discloses an intelligent realization method and system for realizing intelligent sports field based on computer vision algorithm, The system comprises at least one processor, at least four gun-type cameras and at least two hemispherical cameras. The at least four gun-type cameras and at least two hemispherical cameras are communicatively connected with the at least one processor. Controlling each camera to synchronously collect video images of the whole sports field; The spherical object is detected from the video image and tracked to obtain the two-dimensional trajectory of thespherical object. The three-dimensional trajectory of the spherical object is extracted by three-dimensional reconstruction. The system of the invention can realize motion positioning and track tracking, accurately obtain structured motion data, realize referee and data statistics, and can be used for data analysis in large and small conventional matches and daily training of various modes, and has the characteristics of high accuracy, wide application range, high efficiency and low cost.