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Learning Structured Hough Voting for Joint Object Detection and Occlusion Reasoning

Date

2013

Authors

Wang, Tao
He, Xuming
Barnes, Nick

Journal Title

Journal ISSN

Volume Title

Publisher

IEEE

Abstract

We propose a structured Hough voting method for detecting objects with heavy occlusion in indoor environments. First, we extend the Hough hypothesis space to include both object location and its visibility pattern, and design a new score function that acc

Description

Keywords

Citation

URI

http://hdl.handle.net/1885/33939

Collections

Open Access Research

Source

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Type

Conference paper

Book Title

Entity type

Access Statement

License Rights

DOI

10.1109/CVPR.2013.234

Restricted until

2037-12-31

Downloads

File
Description
01_Wang_Learning_Structured_Hough_2013.pdf (963.75 KB)

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