Learning Structured Hough Voting for Joint Object Detection and Occlusion Reasoning
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
|Collections||ANU Research Publications|
|Source:||Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition|
|01_Wang_Learning_Structured_Hough_2013.pdf||963.75 kB||Adobe PDF||Request a copy|
Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.