A successful approach for object tracking has been kernel based object tracking [1] by Comaniciu et al.. The method provides an effective solution to the problems of representation and localization in tracking. The method involves representation of an object by a feature histogram with an isotropic kernel and performing a gradient based mean shift optimization for localizing the kernel. Though ...

Object tracking using Mean Shift (MS) has been attracting considerable attention recently. In this paper, we try to deal with one of its shortcoming. Mean shift is designed to find local maxima for tracking objects. Therefore, in large target movement between two consecutive frames, the local and global modes are not the same as previous frames so that Mean Shift tracker may fail in tracking th...

This paper proposes a new technique to build a fully automatic tracking system which handles occlusion problem in a complex environment. In multiple human tracking, handling of occlusion is the challenging issue. When occlusion occurs, kernel based tracking was proven to be the promising approach. Hence, to overcome the occlusion problem the human body was considered to have multiple kernels. I...

The object tracking algorithms based on mean shift are good and efficient. But they have limitations like inaccuracy of target localization and sometimes complete tracking failure. These difficulties arises because of the fact that in basic kernel based mean shift tracking algorithm, the centroid is not always at the centre of the target and the size of tracking window remains constant even if ...

Although there has been significant progress in the past decade, object tracking under complex environment is still a very challenging task, due to the irregular changes in object appearance. To alleviate these problems, this research developed an object tracking algorithm via tensor kernel space projection. In the initial stage of tracking, a template matching algorithm was used to obtain a pr...

Mean-shift tracking has gained more interests, nowadays, aided by its feasibility of real-time and reliable tracker implementation. In order to reduce background clutter interference to mean-shift object tracking, this paper proposes a novel indicator function generation method. The proposed method takes advantage of two 'a priori' knowledge elements, which are inherent to a kernel support for ...

Significant progress has been made in the field of autonomous driving during the past decades. However, fully autonomous driving in urban traffic is still extremely difficult in the near future. Visual tracking of vehicles or pedestrians is an essential part of autonomous driving. Among these tracking methods, kernel-based object tracking is an effective means of tracking in video sequences. Th...