Vision-based monitoring method using gray relational analysis

IET Computer Vision

Volumn 3, Issue 3, 2009, Pages 103-111

  Hsu, W L ^a   Hsiao, C C ^a   Chang, Y L ^b   Chen, T L ^a  

^a LUNGHWA UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

^b NATIONAL TAIPEI UNIVERSITY OF TECHNOLOGY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

CELLULAR MODEL; GRAY RELATIONAL ANALYSIS; HUMAN ACTIVITIES; INDOOR ENVIRONMENT; INTELLIGENT SURVEILLANCE SYSTEMS; MONITORING METHODS; MOVING OBJECTS; MULTIPLE MOVING OBJECTS; MULTIPLE OBJECTS; REAL TIME; RECTANGULAR BOX; RESEARCH TOPICS; SIMPLE CELL; VISION BASED;

CELL MEMBRANES; COMPUTER VISION; MONITORING;

TRACKING (POSITION);

EID: 69449100690     PISSN: 17519632     EISSN: 17519640     Source Type: Journal    
DOI: 10.1049/iet-cvi.2007.0045     Document Type: Article

References (12)

1. Regazzoni, C., Ramesh, V., and Foresti, G.L.: ' Special issue on video communications, processing, and understanding for third generation surveillance systems ', Proc. IEEE, 2001, 89, (10), p. 1355-1367 0018-9219
2. Hu, W., Tan, T., Wang, L., and Maybank, S.: ' A survey on visual surveillance of object motion and behaviors ', IEEE Trans. Syst. Man Cybern. C, Appli. and Rev., 2004, 34, (3), p. 334-352
3. Iketani, A., Kuno, Y., Shimada, N., and Shiral, Y.: ' Real-time surveillance system detecting persons in complex scenes ', Real-Time Imaging, 2001, 89, (10), p. 433-446 1077-2014
4. Burghardt, T., and Calic, J.: ' Analysing animal behaviour in wildlife videos using face detection and tracking ', IEE Proc. Vis. Image Signal Process., 2006, 153, (3), p. 305-312 10.1049/ip-vis:20050052 1350-245X (Pubitemid 43735660)
5. Krahnstoever, N., Rittscher, j., Tu, P., Chean, K., and Tomlinson, T.: ' Activity recognition using visual tracking and RFID ', Proc. IEEE Workshop on Applications of Comput. Vis., January, 2005, p. 494-500
6. Yun, X., Aparicio, C., Bachman, E.R., and McGhee, R.B.: ' Implement and experimental results of a quaternion-based Kalman filter for human body motion tracking ', Proc. IEEE Int. Conf. Robotics and Automation, April, 2005, p. 317-322
7. Ma, Y.F., and Zhang, H.J.: ' Detecting motion object by spatio-temporal entropy ', Proc. Int. Conf. Multimedia and Expo, August, 2001, p. 265-268
8. Mckenna, S., Jabri, Z., Duric, Z., Rosenfeld, A., and Wechsler, H.: ' Tracking groups of people ', Comput. Vis. Image Underst., 2000, 80, (1), p. 42-56 10.1006/cviu.2000.0870 1077-3142 (Pubitemid 30940993)
9. Valera, M., and Velastin, S.A.: ' Intelligent distributed surveillance system: a review ', IEE Proc. Vis. Image Signal Process., 2005, 152, p. 192-204 10.1049/ip-vis:20041147 1350-245X
10. Han, M., Amit, S., Hua, W., and Gong, Y.: ' A detection-based multiple object tracking method ', Proc. Int. Conf. Image Process., October, 2004, p. 3065-3068
11. Perera, A.G.A., Srinivas, C., Hoogs, A., Brooksby, G., and Wensheng, H.: ' Multi-object tracking through simultaneous long occlusions and split-merge ', Proc. Conf. Comput. Vis. and Pattern Recognition, June, 2006, p. 666-673
12. Perera, A.G.A., Hoogs, A., Srinivas, C., Brooksby, G., and Hu, W.: ' Evaluation of algorithms for tracking multiple objects in video ', Proc. Applied Imagery and Pattern Recognition, October, 2006, p. 35-39