DocumentCode :
661369
Title :
A skeleton-based pairwise curve matching scheme for people tracking in a multi-camera environment
Author :
Chien-Hao Kuo ; Shih-Wei Sun ; Pao-Chi Chang
Author_Institution :
Dept. of Commun. Eng., Nat. Central Univ., Taoyuan, Taiwan
fYear :
2013
fDate :
Oct. 29 2013-Nov. 1 2013
Firstpage :
1
Lastpage :
5
Abstract :
In this paper, we propose a pairwise curve matching scheme in a multi-camera environment to handle the mis-tracking issue caused by occlusion problem happened in a single camera. According to the skeleton/joints of a human subject analyzed from a depth camera (e.g., Kinect), based the foot points (joints) used for people tracking in a field of view, we apply homography transformation to project the foot points from different views to a virtual bird´s eye view, using Kalman filter to achieve people tracking with a pairwise curve matching. The contribution of this paper is trifold: (a) the proposed pair-wise curve matching scheme can handle the occlusion problem happened in one of the cameras, (b) the complexity of the proposed scheme is low and affordable to be implemented in a realtime application, and (c) the implementation on a Kinect camera can provide satisfactory tracking results in a bright or extremely dark environment due to the skeletons/joints analyzed by the coded structured light-based infrared (IR) sensor.
Keywords :
Kalman filters; cameras; computer graphics; image matching; kinematics; object tracking; Kalman filter; Kinect camera; light-based infrared sensor; multi-camera environment; occlusion problem; people tracking; skeleton-based pairwise curve matching scheme; Cameras; Foot; Joints; Kalman filters; Tracking; Trajectory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2013 Asia-Pacific
Conference_Location :
Kaohsiung
Type :
conf
DOI :
10.1109/APSIPA.2013.6694230
Filename :
6694230
Link To Document :
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