Title
Pose Robust Human Detection in Depth Image Using Four Directional 2D Elliptical Filters
Abstract
This paper proposes a pose robust human detection method for sequences of stereo images using four directional2D elliptical filters (4D2DEFs), which can detect humans regardless of scale and pose. Four 2D elliptical filters with specific orientations are applied to a 2D spatial depth histogram, and threshold values are used to detect human candidates. These candidates are verified by either detecting the face or matching head-shoulder shapes. Experimental results show that human detection using the proposed method outperforms that of using the existing Object Oriented Scale Adaptive Filter (OOSAF) by 15∼20%, especially in the case of posed humans.
Year
DOI
Venue
2009
10.1109/ISM.2009.106
ISM
Keywords
Field
DocType
existing object oriented scale,directional2d elliptical filter,human candidate,elliptical filter,pose robust human detection,elliptical filters,adaptive filter,depth image,head-shoulder shape,human detection,robust human detection method,histograms,adaptive filters,face detection,object oriented,face,shape
Computer vision,Object detection,Histogram,Object-oriented programming,Pattern recognition,Computer science,Elliptic filter,Artificial intelligence,Adaptive filter,Face detection
Conference
Citations 
PageRank 
References 
2
0.38
7
Authors
4
Name
Order
Citations
PageRank
TaeWan Kim110917.07
Sang-Ho Cho261.90
Jongmin Yoon3153.36
Daijin Kim41882126.85