2021 IEEE International Conference on Image Processing

19-22 September 2021 • Anchorage, Alaska, USA

Imaging Without Borders

2021 IEEE International Conference on Image Processing

19-22 September 2021 • Anchorage, Alaska, USA

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Paper Detail

Paper ID3D-3.8
Paper Title 3D MULTI-OBJECT ONLINE TRACKING WITH MULTI-VIEW CLUSTERING
Authors Guanglie Jia, Jianjiang Feng, Jie Zhou, Tsinghua University, China
Session3D-3: Stereoscopic and multiview processing
LocationArea J
Session Time:Wednesday, 22 September, 14:30 - 16:00
Presentation Time:Wednesday, 22 September, 14:30 - 16:00
Presentation Poster
Topic Three-Dimensional Image and Video Processing: Stereoscopic and multiview processing and display
IEEE Xplore Open Preview  Click here to view in IEEE Xplore
Abstract Multi-target tracking is an increasingly hot research topic. Since target tracking under a single view is difficult to solve the problem of target tracking, we propose an online tracking method that simultaneously locates and correlates the objects under multiple views. This idea consists mainly of a tracking-by-detection method and an internal association mechanism between cameras. First, we trained the LSTM classfication model for the tracking under a single view, in which we also retained the best features of unoccluded objects for re-identification. Then the hierarchical clustering is used for connecting the objects under different views with the accurate track fragments after camera calibration, and the output of clustering will be made for improving the effect of track fragments in the online tracking. In experiments, our method proved to be more robust to solve the occlusion problem, and can make superior performance in comparison with the state of the art methods on the Terrace videos and Passageway videos from EPFL CVLAB.