Filtered Channel Features for Pedestrian Detection

Zhang, Shanshan; Benenson, Rodrigo; Schiele, Bernt

doi:10.1109/CVPR.2015.7298784

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Filtered Channel Features for Pedestrian Detection

Zhang, S., Benenson, R., & Schiele, B. (2015). Filtered Channel Features for Pedestrian Detection. In IEEE Conference on Computer Vision and Pattern Recognition (pp. 1751-1760). Los Alamitos, CA: IEEE Computer Society. doi:10.1109/CVPR.2015.7298784.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0025-01BD-3 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0028-E158-B

Genre: Conference Paper

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Creators:
Zhang, Shanshan¹, Author
Benenson, Rodrigo¹, Author
Schiele, Bernt¹, Author

Affiliations:
1Computer Vision and Multimodal Computing, MPI for Informatics, Max Planck Society, ou_1116547

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Language(s): eng - English

Dates: Accepted: 2015Published Online: 2015Date issued: 2015

Publication Status: Issued

Pages: -

Publishing info: -

Table of Contents: -

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Identifiers: BibTex Citekey: Zhang15cvpr_a
DOI: 10.1109/CVPR.2015.7298784

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Title: IEEE Conference on Computer Vision and Pattern Recognition

Place of Event: Boston, MA., USA

Start-/End Date: 2015-06-08 - 2015-06-10

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Title: IEEE Conference on Computer Vision and Pattern Recognition

Abbreviation : CVPR 2015

Source Genre: Proceedings

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Publ. Info: Los Alamitos, CA : IEEE Computer Society

Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 1751 - 1760 Identifier: -