Lightweight tracking-by-detection system for multiple pedestrian targets-Reference-Cited by-同舟云学术

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Lightweight tracking-by-detection system for multiple pedestrian targets

Published:2016-06-21 Issue:3 Volume:23 Page:299-311
ISSN:1069-2509
Container-title:Integrated Computer-Aided Engineering
language:
Short-container-title:ICA

Author:

Lacabex Borja,Cuesta-Infante Alfredo,Montemayor Antonio S.,Pantrigo Juan J.

Publisher

IOS Press

Subject

Artificial Intelligence,Computational Theory and Mathematics,Computer Science Applications,Theoretical Computer Science,Software

Reference37 articles.

1. Andriluka M., Roth S. and Schiele B., People-tracking-by-detection and people-detection-by-tracking, in: IEEE Conf on Computer Vision and Pattern Recognition (CVPR), (Jun 2008).

2. Azab M.M., Shedeed H.A. and Hussein A.S., New technique for online object tracking-by-detection in video, in: IET Image Processing 8(12) (2014), 794-803.

3. Bay H., Ess A., Tuytelaars T. and Van Gool L., `SURF': Speeded up robust features, in: Computer Vision and Image Understanding (CVIU) 110(3) (2008), 346-359.

4. Bernardin K. and Stiefelhagen R., Evaluating multiple object tracking performance: The clear MOT metrics, in: J Image Video Process, (Feb 2008), 1-10.

5. Breitenstein M.D., Reichlin F., Leibe B., Koller-Meier E. and Van Gool L., Online multiperson tracking-by-detection from a single, uncalibrated camera, in: IEEE Transactions on Pattern Analysis and Machine Intelligence 33(9) (2011), 1820-1833.

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