NDLI: Multi-Camera Multi-Target Tracking with Space-Time-View Hyper-graph

Content Provider	Springer Nature Link
Author	Wen, Longyin Lei, Zhen Chang, Ming Ching Qi, Honggang Lyu, Siwei
Copyright Year	2016
Abstract	Incorporating multiple cameras is an effective solution to improve the performance and robustness of multi-target tracking to occlusion and appearance ambiguities. In this paper, we propose a new multi-camera multi-target tracking method based on a space-time-view hyper-graph that encodes higher-order constraints (i.e., beyond pairwise relations) on 3D geometry, appearance, motion continuity, and trajectory smoothness among 2D tracklets within and across different camera views. We solve tracking in each single view and reconstruction of tracked trajectories in 3D environment simultaneously by formulating the problem as an efficient search of dense sub-hypergraphs on the space-time-view hyper-graph using a sampling based approach. Experimental results on the PETS 2009 dataset and MOTChallenge 2015 3D benchmark demonstrate that our method performs favorably against the state-of-the-art methods in both single-camera and multi-camera multi-target tracking, while achieving close to real-time running efficiency. We also provide experimental analysis of the influence of various aspects of our method to the final tracking performance.
Starting Page	313
Ending Page	333
Page Count	21
File Format	PDF
ISSN	09205691
Journal	International Journal of Computer Vision
Volume Number	122
Issue Number	2
e-ISSN	15731405
Language	English
Publisher	Springer US
Publisher Date	2016-09-06
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Multi-camera multi-target tracking Single-camera multi-target tracking Space-time-view hyper-graph Dense sub-hypergraph search Computer Imaging, Vision, Pattern Recognition and Graphics Artificial Intelligence (incl. Robotics) Image Processing and Computer Vision Pattern Recognition
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence Computer Vision and Pattern Recognition Software

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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