Title :
Video Behavior Analysis Using Topic Models and Rough Sets [Applications Notes]
Author :
Liang Zhao ; Lin Shang ; Yang Gao ; Yubin Yang ; Xiuyi Jia
Author_Institution :
Nanjing Univ., Nanjing, China
Abstract :
The paper investigates the effectiveness of rough sets for video behavior detection. It proposes a new method to make the codebook of the motion frame. It obtains atomic activities via a simple improved topic model. It use a rough sets classifier to classify the behaviors in video, and confirm its performance through experiments.
Keywords :
image classification; image motion analysis; object detection; rough set theory; video signal processing; atomic activity; motion frame codebook; rough sets classifier; topic model; video behavior analysis; video behavior classification; video behavior detection; Analytical models; Classification algorithms; Computational modeling; Computer vision; Data models; Feature extraction; Monitoring; Rough sets;
Journal_Title :
Computational Intelligence Magazine, IEEE
DOI :
10.1109/MCI.2012.2228597
