Multiple Object Tracking Based on Motion Estimation and Structural constraints

DOI

10.2991/meic-14.2014.327How to use a DOI?

Keywords

multiple object tracking; motion estimation;motion vector; structural constraints; online structured SVM algorithm

Abstract

To solve the time-consuming problem and the low efficiency of the global exhaustive searching in the object tracking, this paper propose a new search strategy based on motion estimation and structural constraints. First, the motion vector of one object is calculated, associating with the location of the object in the previous frame, its moving direction and scope are predicted in the current frame. Then, with the combination of structural constraints between objects, the accurate search direction and scope of the other targets can be determined. We choose five videos for the experiment to confirm the superiority of the search algorithm in this paper. For each video, all these measurements are averaged over all objects, over all frames, and over five separate runs of the tracker. Experimental results show that the new search method can narrow the search range and enhance the searching efficiency under the condition of no affect on the tracking accuracy, thus the complexity of the multi-object tracking algorithm will be reduced.

Copyright

© 2014, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Qi Wan
AU  - Jun-qing Liu
AU  - Peng Chen
AU  - Bang-jun Lei
PY  - 2014/11
DA  - 2014/11
TI  - Multiple Object Tracking Based on Motion Estimation and Structural constraints
BT  - Proceedings of the 2014 International Conference on Mechatronics, Electronic, Industrial and Control Engineering
PB  - Atlantis Press
SP  - 1451
EP  - 1456
SN  - 2352-5401
UR  - https://doi.org/10.2991/meic-14.2014.327
DO  - 10.2991/meic-14.2014.327
ID  - Wan2014/11
ER  -