Moving Object Detection Based on Bionic Compound Eye

Author:

Wang Xiao Meng1,Yan Lei2,Qian Xu1,Luo Bo Ren2,Jing Xin2

Affiliation:

1. China University of Mining and Technology (Beijing)

2. Peking University

Abstract

In view of the traditional image difference method for camera movement under the condition of low accuracy on moving target detection, the image difference method based on bionic compound eye moving target detection algorithm was proposed and optimized. It used the image difference method based on bionic compound eye to detect the moving targets, and optimize the result by pixel interpolation and the ratio. The experimental conclusions show that the accuracy about new motion detection method is 25% higher than the traditional method.

Publisher

Trans Tech Publications, Ltd.

Subject

General Engineering

Reference13 articles.

1. Salma Kammoun Jarraya, Mohamed Hammami and Hanene Ben-Abdallah, Accurate Background Modeling For Moving Object Detection in a Dynamic Scene . Digital Image Computing, 2010: 1-6.

2. Wenhui Chen, Jing Zhang. A moving object detection based on background subtraction and frame difference algorithm, Electronic Design Engineering, 2013, 21, (3): 24-26.

3. Xin Jin, Xuechun Liang. Statistical techniques of multiple target tracking under complex conditions. Computer science 2013, 40(6): 268-271.

4. Jing Xu, HeZhang, Xiangjin Zhang. Interframe difference and optical flow method of infrared image based motion detection. The computer simulation, 2012, 29(6): 248-252.

5. Rita Cucchiara. Detecting Moving Objects, Ghosts, and Shadows in Video Streams. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2003, 25(10): 1337-1342.

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