Number of approaches has been proposed for object tracking in last few years towards
increasing performance of computer vision systems. In this paper we propose a tracker …

The video sequences provide more information than the still images about how objects and
scenarios change over time. However, video needs more space for storage and wider …

Object tracking in video sequences has been extensively studied in computer vision.
Although promising results have been achieved, often the proposed solutions are tailored …

Object tracking has many applications in computer vision. Traditionally, to track objects
successfully, motion prediction often plays an important role in tracking process. However …

Object tracking in computer vision refers to the task of tracking individual moving objects
accurately from one frame to another in an image sequence. Several tracking methods have …

The object occlusion is one serious issue in object tracking, especially when objects merge
or split. The tracker may fail if it has no adaptability to such variations. In this paper, we …

This paper presents a method for tracking an object in a sequence of images given its
location in the first frame. Recently, a class of techniques called discriminative methods has …

Visual tracking is an important task in computer vision. Treating object tracking as a binary
classification problem has been already discussed in recent years. State of the art …

This paper presents a low-cost tracking algorithm based on multiple multiple fragments,
increasing robustness with respect to partial occlusions. Given the initial template …

We propose in this paper a tracking algorithm which is able to adapt itself to different scene
contexts. A feature pool is used to compute the matching score between two detected …