JOURNAL BROWSE
Search
Advanced SearchSearch Tips
Implementation of Motion Detection based on Extracting Reflected Light using 3-Successive Video Frames
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
Implementation of Motion Detection based on Extracting Reflected Light using 3-Successive Video Frames
Kim, Chang Min; Lee, Kyu Woong;
 
 Abstract
Motion detection algorithms based on difference image are classified into background subtraction and previous frame subtraction. 1) Background subtraction is a convenient and effective method for detecting foreground objects in a stationary background. However in real world scenarios, especially outdoors, this restriction, (i.e., stationary background) often turns out to be impractical since the background may not be stable. 2) Previous frame subtraction is a simple technique for detecting motion in an image. The difference between two frames depends upon the amount of motion that occurs from one frame to the next. Both these straightforward methods fail when the object moves very "slightly and slowly". In order to efficiently deal with the problem, in this paper we present an algorithm for motion detection that incorporates "reflected light area" and "difference image". This reflected light area is generated during the frame production process. It processes multiplex difference image and AND-arithmetic of bitwise. This process incorporates the accuracy of background subtraction and environmental adaptability of previous frame subtraction and reduces noise generation. Also, the performance of the proposed method is demonstrated by the performance assessment of each method using Gait database sample of CASIA.
 Keywords
Motion Detection;Difference Image;light reflected area;image processing;
 Language
Korean
 Cited by
1.
빛의 불규칙성을 기반으로 한 동작영역 검출 알고리즘,김창민;이규웅;

정보과학회 논문지, 2017. vol.44. 10, pp.1094-1104 crossref(new window)
 References
1.
Kyu-Woong Lee, "Implementation of Video Surveillance System with Motion Detection based on Network Camera Facilities," Journal of the IIBC, Vol. 14, No. 1, pp. 169-177, Feb. 2014. (in Korean)

2.
Seok-Woo Jang and Jin-Uk Kim, "Analysis of Moving Object Trajectories Using Difference Images," Journal of the Korean Institute of Information Technology, Vol. 4, No. 3, pp. 19-28, Jul. 2005. (in Korean)

3.
R. T. Collins, A. J. Lipton, and T. Kanade, "Introduction to the special section on video surveillance," IEEE Trans. Pattern Anal. Machine Intelligence, Vol. 22, pp. 745-746, Aug. 2000. crossref(new window)

4.
Y. Kameda and M. Minoh, "A human motion estimation method using 3-successive video frames," Proc. of the International Conference on Virtual Systems and Multimedia, pp. 135-140, Sep. 1996.

5.
R. Collins, A. Lipton, and T. Kanade, "A System for Video Surveillance and Monitoring," Proc. of the ANS 8th International Topical Meeting Robotic and Remote Systems, Apr. 1999.

6.
W.M. Hu, T.N. Tan, L. Wang, and S.J. Maybank, "A Survey on Visual Surveillance of Object Motion and Behaviors," IEEE Trans. Systems, Man, and Cybernetics, Part C: Applications and Reviews, Vol. 34, No. 3, pp. 334-352, 2004.

7.
Ji-nyun Chung and Hyun Seung Yang, "Comparison between Retinex model and Illumination-reflectance model for object recognition," Proc. of the Korea Multimedia Society Spring Conference, pp. 28-31, 2005. (in Korean)

8.
Jihye Jeon, Daehee Kim, Yoongi Yang, Joonki Paik, and Changsu Lee, "Image Distortion Compensation for Improved Gait Recognition," Journal of the Institute of Electrical and Electronics Engineers, Vol. 46, No. 4, pp. 97-107, Jul. 2009. (in Korean)

9.
Joungwook Park, Kwan H.Lee, "Noise elimination in difference image for object detection," Proc. of the HCI Society of korea, pp. 1207-1211, Feb. 2004. (in Korean)

10.
Chang Min Kim, Kyu Woong Lee, "The Implementation of Motion Detection Algorithm using Image Difference Technique and Light Reflected Area by Objects," Proc. of the KIISE:Korea Computer Conference, ISSN 2288-5951, pp. 1395-1397, 2015. (in Korean)

11.
CASIA database, available: http://www.sinobiometrics.com(downloaded 2014, Jan. 14)