Proceedings ArticleDOI
Real time object tracking based on segmentation and Kernel based method
Debarati Bhunia Chakraborty,Dipti Patra +1 more
- pp 426-429
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TLDR
A novel algorithm for object tracking from Video images based on segmentation and Kernel based procedure, where the target localization problem is minimized using segmentation technique, instead of using mean shift tracking algorithm.Abstract:
In this paper we propose a novel algorithm for object tracking from Video images based on segmentation and Kernel based procedure. Many Kernel based object tracking algorithms have been developed during last few years. The computational complexity becomes very high in those kernel based techniques. In our proposed method the target localization problem is minimized using segmentation technique, instead of using mean shift tracking algorithm. Following segmentation technique the localization problem of target candidate gets minimized, and then comparing the target candidate with the target model by using Bhattacharya coefficient the object can easily be detected. So, the object can be tracked with less computational burden and more efficiently. The proposed algorithm is validated with an existing video sequence and another with a real time video sequence.read more
Citations
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Journal ArticleDOI
Adaptive Shape Kernel-Based Mean Shift Tracker in Robot Vision System
TL;DR: The proposed adaptive shape kernel-based mean shift tracker using a single static camera for the robot vision system and constructs the adaptive kernel shape in the high-dimensional shape space by performing nonlinear manifold learning technique.
Journal ArticleDOI
A New Algorithm for Tracking Objects in Video s of Cluttered Scenes
TL;DR: A novel algorithm for video object tracking based on a process of subtraction of successive frames is described, where the prediction of the direction of movement of the object being tracked is carried out by analyzing the changing areas generated as result of theobject’s motion.
Journal ArticleDOI
Object Tracking System Based on Artificial Vision Algorithms
TL;DR: This document describes the architecture of a tracking system with two degrees of freedom (pan and tilt), endowed with artificial vision to follow the path of a moving object, designed to cover lateral and vertical ranges of movement.
References
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Proceedings ArticleDOI
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TL;DR: This work shows how to use spatiograms in kernel-based trackers, deriving a mean shift procedure in which individual pixels vote not only for the amount of shift but also for its direction, and shows improved tracking results compared with histograms.