Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering

Interaction Between Object Detection and Multi-Target Tracking

Authors
Zhiming Wang, Hong Bao
Corresponding Author
Zhiming Wang
Available Online March 2013.
DOI
https://doi.org/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.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering
Part of series
Advances in Intelligent Systems Research
Publication Date
March 2013
ISBN
978-90-78677-61-1
ISSN
1951-6851
DOI
https://doi.org/10.2991/iccsee.2013.340How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.340
DO  - https://doi.org/10.2991/iccsee.2013.340
ID  - Wang2013/03
ER  -