Abstract
In this paper, we analyze the existing methods of Multiple Object Tracking (MOT), point out their advantages and disadvantages. It is noted that the MOT task must be solved together with the detection of these objects, thus developing a method of the analysis of the dynamic visual scene. We propose a method of dynamic visual scene analysis based on the appearance object model. This method allows one to detect images and to get the “deep features” of detection in one Convolutional Neural Network forward pass, as well as to improve the accuracy of tracking objects construction compared to other online methods and perform processing in real time, at the speed of 24 FPS, which is shown experimentally. In addition, the method works both in the conditions of uncertainty and in the conditions of noise detection data.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
