Interaction Between Object Detection and Multi-Target Tracking

DOI

10.2991/iccsee.2013.340How to use a DOI?

Keywords

Object detection, Target tracking, Background model, Meanshift, Neural network

Abstract

Object detection and target tracking are two basic tasks in video analysis and understanding. Though both of them were studied widely and deeply, interaction between them worth more efforts. We give an interaction framework between PNN based object detection and meanshift target tracking. Detection results were used to accelerate tracking speed by decrease search steps, and tracking results were used to guide the updating of background model for motion detection. Performances of both multi-object tracking and motion detection were improved.

Copyright

© 2013, 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  - Zhiming Wang
AU  - Hong Bao
PY  - 2013/03
DA  - 2013/03
TI  - Interaction Between Object Detection and Multi-Target Tracking
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 1356
EP  - 1360
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.340
DO  - 10.2991/iccsee.2013.340
ID  - Wang2013/03
ER  -