Structural information approaches to tracking in video by Goszczynska, Hanna; Lorkovic, I.; Smiljanic, T.; Sirotic,

By Goszczynska, Hanna; Lorkovic, I.; Smiljanic, T.; Sirotic, M.; Loza, Artur; Mihaylova, Lyudmila; Wang, Fanglin; Yang, Jie

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17. 16), at first, the man wearing the white shirt enters the scene from the right side. This person will be tracked as the interest moving object. Then on the next frame, another man enters the scene from right side. They move in the same direction. The third 20 Object Tracking man enters the scene from the left side. They occlude each other in the middle on the scene. We successfully track the first moving object as interest moving object as our assumptions while the other moving object is not tracked.

2001). 2585-2594. Gonzalez, R. C. & Woods, R. E. (2001). ,Boston, MA. K. & Ishikawa, S. (2007). Tracking of moving object by using low resolution image, Proceeding of Int. Conf. on Innovative Computing, Information and Control (ICICIC07), Kumamoto, Japan, (4 pages). Desa, S. M. & Salih, Q. A. (2004). Image subtraction for real time moving object extraction, Proceeding of Int. Conf. on Computer Graphics, Imaging and Visualization (CGIV’04), pp. 41–45. Stringa, E. (200). , pp. 402–412. K. & Ishikawa, S.

Normalise the weights of each particle (8) 5. Compute the posterior mean state estimate of xk (9). Resampling 6. Perform resampling as described in Table 1 • END FOR performed, the state vector can be extended to include, for example, the acceleration variables, and the fixed ratio condition can be relaxed allowing independent changes of the height and the width of the object. However, increased dimensionality of the state vector requires finer sampling of the state space, and thus undesirably high number of particles, which may preclude real-time implementation of the tracking system.

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