Browse > Article

Hierarchical Event Detection for Low-Energy Operation In Video Surveillance Embedded System  

Kim, Tae-Rim (LIG넥스원 유도항공연구소 PGM 연구센터)
Kim, Bum-Soo (LIG넥스원 유도항공연구소 PGM 연구센터)
Kim, Dae-Joon (LIG넥스원 유도항공연구소 PGM 연구센터)
Kim, Geon-Su (LIG넥스원 유도항공연구소 PGM 연구센터)
Publication Information
Journal of the Institute of Convergence Signal Processing / v.12, no.3, 2011 , pp. 204-211 More about this Journal
Abstract
Embedded systems require intensively complex and high power dissipating modules that have the capability of real-time high performance data processing, wide bandwidth communication, and low power consumption. However, the current battery technology has not been developed as much as meeting the requirements of portable embedded systems for long system lifetime. In this paper, new approach that operates with low energy consumption is proposed to overcome the situation while guaranteeing detection accuracy. The designed method associates a variety of detection algorithms hierarchically to detect events happening around the system. The Change for energy consumption characteristics is shown with change for probabilistic characteristics and those relationships are analytically explained from experiments. Furthermore, several techniques to consume low energy and achieve high detection accuracy are described, depending on the event static or dynamic characteristics.
Keywords
Hierarchical Architecture; Event Detection; Lifetime Maximization; Embedded System; Low-Energy Algorithm; Surveillance System; Event Characteristic; Probabilistic Model;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 Tae-Rim Kim, Jungsoo Kim, Giwon Kim, and Chong-Min Kyung, "An Energy-Aware Hierarchical Event Detection in Battery-Operated Wireless Video Surveillance Systems," Proc. IEEE Conf. Multimedia and Expo, 2011.
2 Y. Ke, R. Sukthankar, and M. Hebert, "Efficient Visual Event Detection Using Volumetric Features," Proc. IEEE Conf. Computer and Vision, Vol. 1, pp. 166-173, 2005.
3 Y. Bonhomme, P. Girard, L. Guiller, C. Landrault, and S. Pravossoudovitch, "A Gated Clock Scheme for Low Power Scan Testing of Logic ICs or Embedded Cores," Proc. 10th Asian Test Symp., pp. 253-258, Nov. 2001.
4 R. Cucchiara, C. Grana, M. Piccardi, and A. Prati, "Detecting Moving Objects, Ghosts, and Shadows in Video Streams," IEEE Trans. Pattern Analysis and Machine Intelligence, Vol. 25, No. 10, pp. 1337-1342, Oct. 2003.   DOI   ScienceOn
5 P. Pillai and K. G. Shin, "Real-Time Dynamic Voltage Scaling for Low-Power Embedded Operating Systems," Proc. 18th ACM Symp. on Operating Systems Principles, pp. 89-102, Oct. 2001.
6 N. Dalal and B. Triggs, "Histograms of Oriented Gradients for Human Detection," Proc. IEEE Conf. Computer Vision and Pattern Recognition, Vol. 1, pp. 886-893, Jun. 2005.
7 신주현, 백선경, 김판구, "객체 움직임의 의미적 단위 생성을 통한 비디오 이벤트 검출," 한국멀티미디어학회지, 제 11권, 제 2호, pp. 143-152, 2008.
8 P. K. Atrey, M. S. Kankanhalli, and R. Jain, "Information Assimilation Framework for Event Detection in Multimedia Surveillance Systems," ACM Multimedia Systems Journal, Vol. 12, No.3, pp. 239-253, Dec. 2006.   DOI   ScienceOn