Joint components based pedestrian detection in crowded scenes using extended feature descriptors-Reference-Cited by-同舟云学术

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Joint components based pedestrian detection in crowded scenes using extended feature descriptors

Published:2016-05 Issue: Volume:188 Page:139-150
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Hoang Van-Dung,Jo Kang-Hyun

Funder

National Research Foundation of Korea (NRF)

Korean Government (MOE)

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference31 articles.

1. An experimental study on pedestrian classification;Munder;IEEE Trans. Pattern Anal. Mach. Intell.,2006

2. Kernel machine-based one-parameter regularized fisher discriminant method for face recognition;Chen;IEEE Trans. Syst. Man Cybern. B: Cybern.,2005

3. N. Dalal, B. Triggs, Histograms of oriented gradients for human detection, in: Proceedings of the Conference on Computer Vision and Pattern Recognition, pp. 886-893.

4. An efficient local Chan–Vese model for image segmentation;Wang;Pattern Recognit.,2010

5. Object detection with discriminatively trained part-based models;Felzenszwalb;IEEE Trans. Pattern Anal. Mach. Intell.,2010

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