This paper focuses on key steps in video analysis i.e. Detection of moving objects of interest and tracking of such objects from frame to frame. The object shape representations commonly employed for tracking are first reviewed and the criterion of feature Selection for tracking is discussed. Various object detection and tracking approaches are compared and analyzed.

ABSTRACT: The visual tracking is the major process in finding the spot of moving object over time using a camera. Object tracking is challenging task when the object moves fast relative to the frame rate. The active contour algorithm is used for tracking the object in a given frame of an image sequence. In videos particular object motion can be tracked by using stationary cameras but in moving ...

The visual tracking is the major process in finding the spot of moving object over time using a camera. Object tracking is challenging task when the object moves fast relative to the frame rate. The active contour algorithm is used for tracking the object in a given frame of an image sequence. In videos particular object motion can be tracked by using stationary cameras but in moving camera the...

In computer vision real–time tracking of moving objects in natural scenes has become more and more important. In this paper we describe a complete system for data driven tracking of moving objects. We apply the system to tracking pedestrians in natural scenes. No specialized hardware is used. To achieve the necessary efficiency several principles of active vision, namely selection in space, tim...

In this thesis we propose an algorithm which allows detection and tracking of objects that appear in videos as fast moving which can possibly slow down. Object is fast moving (with respect to a camera) if its projected trajectory is larger than its size in one frame. In a single frame, such objects are often barely visible and appear as semi-transparent streaks. The detection part of the algori...

This paper presents an overview of an object detection and tracking method used in SETh system (Simple Enemy Tracking). Most of visual systems use only motion features to detect and track objects of interest. Object tracking is a complex problem and thus cannot be solved using only motion data [6]. There are numerous cases where it is required to detect only, for example, small red moving objec...