发明名称 Object tracking with integrated motion-based object detection (MogS) and enhanced kalman-type filtering
摘要 Described is a system for object tracking with integrated motion-based object detection and enhanced Kalman-type filtering. The system detects a location of a moving object in an image frame using an object detection MogS module, thereby generating an object detection. For each image frame in a sequence of image frames, the system predicts the location of the moving object in the next image frame using a Kalman filter prediction module to generate a predicted object location. The predicted object location is refined using a Kalman filter updating module, and the Kalman filter updating module is controlled by a controller module that monitors a similarity between the predicted object location and the moving object's location in a previous image frame. Finally, a set of detected moving object locations in the sequence of image frames is output.
申请公布号 US9552648(B1) 申请公布日期 2017.01.24
申请号 US201314066600 申请日期 2013.10.29
申请人 HRL Laboratories, LLC 发明人 Zhang Lei;Khosla Deepak;Chen Yang
分类号 G06T7/20 主分类号 G06T7/20
代理机构 Tope-McKay & Associates 代理人 Tope-McKay & Associates
主权项 1. A system for object tracking, the system comprising: one or more processors and a non-transitory memory having instructions encoded thereon such that when the instructions are executed, the one or more processors perform operations of: detecting a location of a moving object in an image frame of a sequence of image frames using a motion-based object detection MogS module, thereby generating an object detection; for each image frame in the sequence of image frames, predicting the location of the moving object in the next image frame through object tracking using a Kalman filter prediction module, thereby generating a predicted object location; monitoring object tracking quality using a controller module; refining the predicted object location using a Kalman filter updating module; adjusting, by the controller module, the Kalman filter updating module according to a dissimilarity measure based on a spatial distance constraint and an appearance-based matching score, thereby improving object tracking quality and ameliorating gradual drifting of object tracking; and outputting a set of detected moving object locations in the sequence of image frames.
地址 Malibu CA US