1. Markov random field modeled level sets method for object tracking with moving cameras
Asian Conf. Compute Vision(2007), Issue PART 1, pp. 832-842
2. Robust tracking based on failure recovery
Telkomnika Indonesian Journal of Electrical Engineering(2014), Volume 12, Issue 2, pp. 1005-1011
3. Object tracking based on multiple features adaptive fusion
Telkomnika Indonesian Journal of Electrical Engineering(2014), Volume 12, Issue 9, pp. 6811-6818
4. Object tracking with improved detector of objects similar to target
Procedia Computer Science(2015), Volume 60, Issue 1, pp. 740-749
5. Realtime tracking of multiple moving object contours in a moving camera image sequence
IEICE Trans. Inf., Syst(2000), Volume E83-D, Issue 7
6. Complexity integral image based technique for fast video tracking
Optics Letters(2008), Volume 33, Issue 21, pp. 2521-2523
7. Elastic matching of line drawings
IEEE Transaction on Pattern Analysis and Machine Intelligence(1981), Volume 3, Issue 6, pp. 708-713
8. Moving object detection using background subtraction algorithm using simulink
International Journal of Research in Engineering and Technology, Volume 3, pp. 2014
9. Stochastic Complexity in Statistical Inquiry
(1989)
10. An iterative image registration technique with an application to stereo vision
Proceedings of Imaging Understanding Workshop(1981), pp. 121-130
11. Good features to track
Computer Vision and Pattern Recognition, Proceedings CVPR'94(1994), pp. 593-600
12. How to track efficiently piecewise curved contours with a view to reconstructing 3D objects
ICPR'94(1994), pp. 32-36
13. Lip image feature extraction utilizing snake's control points for lip reading applications
International Journal of Electrical and Computer Engineering (IJECE)(2015), Volume 5, Issue 4, pp. 720-728
14. A local method for contour matching and its parallel implementation
Machine Vision and Applications(1998), Issue 5-6, pp. 321-330
15. Robust tracking of ellipses at frame rate
Pattern Recognition(2001), Issue 2, pp. 487-498
16. Efficient region tracking with parametric models of geometry and illumination
IEEE Trans, on Pattern Analysis and Machine Intelligence(1998), Issue 10, pp. 1025-1039
17. Effective Gaussian mixture learning for video background subtraction
IEEE Trans. Pattern Anal(2005), Issue 5, pp. 827-832
18. Bayesian modeling of dynamic scenes for object detection
IEEE Trans. Pattern Anal(2005), Issue 11, pp. 1778-1792
19. A combined corner and edge detector
Proceedings of 4th Alvey Vision Conference(1988)
20. Performance of optical flow techniques
International Journal of Computer Vision(1994), Issue 1, pp. 43-77
21. Determining optical flow
Artificial Intelligence(1981), pp. 185-203
22. Color image segmentation based on multiobjective artificial bee colony optimization
Applied Soft Computing(2015), Volume 34, pp. 389-401
23. A new image segmentation method based on multifractal detrended moving average analysis
Physica A: Statistical Mechanics and Its Applications(2015), Volume 432, pp. 197-205
24. Robust salient motion detection with complex background for real-time video surveillance
IEEE Workshop on Motion and Video Computing(2005), pp. 30-35
25. Real-timeand accurate segmentation of moving objects in dynamic scene
ACM Int. Workshop on Video Surveillance & Sensor Networks(2004), pp. 136-143