A Novel Approach to Analyzing Object Motion Behavior

Author

Deng, Yali ; Wu, Lifang ; He, Yulong

Author_Institution

Sch. of Electron. Inf. & Control Eng., Beijing Univ. of Technol., Beijing, China

fYear

2012

fDate

18-20 July 2012

Firstpage

395

Lastpage

398

Abstract

Object behavior analysis is important in traffic behavior analysis. In this paper, we propose a novel approach to analyzing object motion behavior. First we build the background probability model, then background subtraction, binarization, median filtering and morphological operation are implemented in sequence to obtain the candidate regions. Next, the sum of gradient is used for shadow removal. In the candidate region the true object is detect and their behavior is analyzed. The experimental results confirm the efficiency of proposed approach.

Keywords

hidden feature removal; median filters; object detection; probability; traffic engineering computing; background probability model; background subtraction; binarization; candidate region; median filtering; morphological operation; object motion behavior analysis; shadow removal; sum of gradient; traffic behavior analysis; Algorithm design and analysis; Analytical models; Educational institutions; Filtering; Image edge detection; Morphological operations; Vehicles; object behavior analysis; probability model; shadow removal; vehicle;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP), 2012 Eighth International Conference on

Conference_Location

Piraeus

Print_ISBN

978-1-4673-1741-2

Type

conf

DOI

10.1109/IIH-MSP.2012.102

Filename

6274267