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Joint Tracking and Gait Recognition of Multiple People in Video

Abstract: 

We propose a novel approach to address the problem of jointly tracking and gait recognition of multiple people in a video sequence. The most state of the art algorithms for gait recognition consider the cases where there is only one person without any occlusion in a very constrained environment. However, in real scenarios such as in airports, train stations, etc, there are many people in the environment that make these algorithms inapplicable. Although first tracking of each person and then gait recognition could be a solution, we argue that the multipeople tracking and the gait recognition in a video are two sub-problems that can help each other. Hence, we propose a joint tracking and gait recognition of multiple people as one framework that can improve gait recognition accuracy and decrease the ID switching in tracking. Experimental results confirm the validity of proposed approach.

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Paper Details

Authors:
Maryam Babaee, Gerhard Rigoll, Mohammadreza Babaee
Submitted On:
11 September 2017 - 4:35am
Short Link:
Type:
Poster
Event:
Presenter's Name:
Mohammadreza Babaee
Paper Code:
2003
Document Year:
2017
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Document Files

Poster 2003.pdf

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[1] Maryam Babaee, Gerhard Rigoll, Mohammadreza Babaee, "Joint Tracking and Gait Recognition of Multiple People in Video", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1898. Accessed: Sep. 21, 2017.
@article{1898-17,
url = {http://sigport.org/1898},
author = {Maryam Babaee; Gerhard Rigoll; Mohammadreza Babaee },
publisher = {IEEE SigPort},
title = {Joint Tracking and Gait Recognition of Multiple People in Video},
year = {2017} }
TY - EJOUR
T1 - Joint Tracking and Gait Recognition of Multiple People in Video
AU - Maryam Babaee; Gerhard Rigoll; Mohammadreza Babaee
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1898
ER -
Maryam Babaee, Gerhard Rigoll, Mohammadreza Babaee. (2017). Joint Tracking and Gait Recognition of Multiple People in Video. IEEE SigPort. http://sigport.org/1898
Maryam Babaee, Gerhard Rigoll, Mohammadreza Babaee, 2017. Joint Tracking and Gait Recognition of Multiple People in Video. Available at: http://sigport.org/1898.
Maryam Babaee, Gerhard Rigoll, Mohammadreza Babaee. (2017). "Joint Tracking and Gait Recognition of Multiple People in Video." Web.
1. Maryam Babaee, Gerhard Rigoll, Mohammadreza Babaee. Joint Tracking and Gait Recognition of Multiple People in Video [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1898