Abstract:
Disclosed are methods and systems for detecting one or more vehicles in video captured from a deployed video camera directed at a parking region. According to one exemplary embodiment, disclosed is a method of training a deployed classifier associated with the video camera, where a generic classifier is initially used to obtain high confidence training samples from the video camera, the high confidence training samples subsequently used to train the deployed classifier.
Abstract:
Hybrid methods, systems and processor-readable media for video and vision based access control for parking occupancy determination. One or more image frames of a parking area of interest can be acquired from among two or more regions of interest defined with respect to the parking area of interest. The regions of interest can be analyzed for motion detection or image content change detection. An image content classification operation can be performed with respect to a first region of interest among the regions of interest based on the result of the image content change detection. An object tracking operation can then be performed with respect to a second region of interest among the regions of interest if the result of the image content classification operation indicates a presence of one or more objects of interest within the parking area of interest.
Abstract:
A computer-implemented method, system, and computer-readable medium is disclosed for determining an estimated available parking distance for a vehicle via vehicle side detection in one or more image frames from an operational video. The operational video can be acquired from a fixed parking occupancy video camera and can include a field of view associated with a parking region. The method can include obtaining operational video from a fixed parking occupancy video camera; detecting, within a region of interest (ROI) of the one or more image frames from the operational video, a side of one or more vehicles parked in a parking region facing a traffic lane using a trained classifier that is trained to detect the side of the one or more vehicles; and determining an estimated available parking distance based on the side of the one or more vehicles that are detected.
Abstract:
Methods and systems are disclosed for updating camera geometric calibration utilizing scene analysis. Geometric calibration parameters can be derived with respect to one or more cameras and selected reference points of interest identified from a scene acquired by one or more of such cameras. The camera geometric calibration parameters can be applied to image coordinates of the selected reference points of interest to provide real-world coordinates at a time of initial calibration of the camera(s). A subset of a video stream from the camera(s) can then be analyzed to identify features of a current scene captured by the camera(s) that match the selected reference points of interest and provide a current update of the camera geometric calibration parameters with respect to the current scene.
Abstract:
Direction and speed of robotic data acquisition systems engaged in acquiring data in mapped or route-planned environments, and/or environments having reference features (e.g., shelves, walls, curbs or other structure) enabling additional guidance and control, are disclosed. A mobile base can include wheels adapted to navigate an environment. At least one sensor (e.g., imaging camera, acoustic, passive infrared, etc.) can be mounted on the mobile base and acquires data (e.g., images) of items associated with or located along fixed structures defining the pathways within the environment. A computer can control mobile base movement and orientation with respect to the at least one structure utilizing range sensors and PID controllers, track mobile base location, and organize acquired data. Range sensors under the control of the at least one computer can be adapted to control mobile base movement in a straight line and at a constant speed with respect to a fixed structure.
Abstract:
A method, system, and apparatus for video frame alignment comprises collecting video data comprising at least two video frames; extracting a line profile along at least one line profile in each of the at least two video frames; selecting one of the at least two video frames as a reference video frame; segmenting each of the at least one line profiles into a plurality of segmented line profile group segments; aligning the plurality of segmented line profiles with the segmented line profiles in the reference video frame; translating each of the at least two video frames for each of the plurality of corresponding segmented line profile alignments; and removing a camera shift from the at least two video frames according to the translation and alignment of the plurality of segmented line profiles with the plurality of segmented line profile in the reference video frame.
Abstract:
A computer-implemented method for gait analysis of a subject includes obtaining visual data from an image capture device positioned in front of or behind the subject, the visual data comprising at least two image frames of the subject over a period of time walking toward or away from the image capture device, the at least two image frames capturing at least a portion of the gait of the subject, detecting within the at least two images body parts as two-dimensional landmarks using a pose estimation algorithm on each of the at least two frames, generating a joint model depicting the location of the at least one joint in each of the at least two frames, using the joint model to segment a gait cycle for the at least one joint, and comparing the gait cycle to a threshold value to detect abnormal gait.
Abstract:
Block-based motion estimation of video compression estimates the direction and magnitude of motion of objects in the scene in a computationally efficient manner and accurately predicts the optimal search direction/neighborhood location for motion vectors. A system can include a motion detection module that detects apparent motion in the scene, a motion direction and magnitude prediction module that estimates the direction and magnitude of motion of the objects detected to be in motion by the motion detection module, and a block-based motion estimation module that performs searches in reduced neighborhoods of the target block according to the estimated motion by the motion direction and magnitude prediction module and only for the blocks determined to be in motion by the motion detection module. The Invention is particularly well suited for stationary traffic cameras that monitor roads and highways for traffic law enforcement purposes.
Abstract:
Methods, systems and processor-readable media for parking occupancy determination. Changes in the field of view can be measured using template matching between templates derived from an original scene and a current scene with motion removed. The changes measured in the field of view can be employed to adjust data indicative of a region of interest for vision-based processing thereof if the changes measured are above a pre-determined threshold so that the impact of the changes with respect to the field of view to performance is minimized.
Abstract:
A method, non-transitory computer readable medium, and apparatus for detecting defective brakes are disclosed. For example, the method detects that a wheel of a vehicle is in a position to be read by an infrared (IR) thermometer, signals the IR thermometer to take a temperature measurement of a brake of the wheel, receives the temperature measurement of the brake and determines that a defective brake condition exists when the temperature measurement of the brake is outside a temperature range.