Title | ||
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Pose Robust Human Detection in Depth Image Using Four Directional 2D Elliptical Filters |
Abstract | ||
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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 Kim | 1 | 109 | 17.07 |
Sang-Ho Cho | 2 | 6 | 1.90 |
Jongmin Yoon | 3 | 15 | 3.36 |
Daijin Kim | 4 | 1882 | 126.85 |