Class-Specific Hough Forests for Object Detection-Reference-Cited by-同舟云学术

Class-Specific Hough Forests for Object Detection

Published:2013 Issue: Volume: Page:143-157
ISSN:
Container-title:Decision Forests for Computer Vision and Medical Image Analysis
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Author:

Gall J.,Lempitsky V.

Publisher

Springer London

Link

http://link.springer.com/content/pdf/10.1007/978-1-4471-4929-3_11

Reference36 articles.

1. Agarwal S, Awan A, Roth D (2004) Learning to detect objects in images via a sparse, part-based representation. IEEE Trans Pattern Anal Mach Intell 26(11)

2. Amit Y, Geman D, Wilder K (1997) Joint induction of shape features and tree classifiers. IEEE Trans Pattern Anal Mach Intell 19

3. Andriluka M, Roth S, Schiele B (2008) People-tracking-by-detection and people-detection-by-tracking. In: Proc IEEE conf computer vision and pattern recognition (CVPR)

4. Ballard DH (1981) Generalizing the Hough transform to detect arbitrary shapes. Pattern Recognit 13(2)

5. Barinova O, Lempitsky VS, Kohli P (2010) On detection of multiple object instances using Hough transforms. In: Proc IEEE conf computer vision and pattern recognition (CVPR)

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