Object Detection and Tracking: A Review

Abstract

We propose a general framework for Object Recognition into regions and objects. In this framework, the detection and recognition of objects proceed simultaneously with image segmentation in a competitive and cooperative manner. Object detection is performed to check existence of objects in video and to precisely locate that object. Object tracking is performed using monitoring objects spatial and temporal changes during a video sequence, including its presence, position, size, shape, etc. A common approach for object detection is to use information in a single frame. The tracking method requires an object detection mechanism either in every frame or when the object first appears in the video.

Authors and Affiliations

Prof. Mukund R. Joshi

Keywords

Related Articles

Modular Bi-Directional Power Flow Converter for Multiple Renewable Energy Sources

This paper presents a new bidirectional dc-dc converter for renewable energy sources with a main objective of building a reliable power source with the available unreliable energy sources i.e., renewable energy sources....

Human-Wildlife Conflict: Challenge and Management in Ethiopia: A Review

Human-wildlife conflict is a serious problem in Ethiopia especially in situation of those who share the immediate boundaries with protected areas. Human population growth, less public understanding and the negative perce...

A University Model Thesis on Globalization for Globalism

Research for fulfilling the needs and expectations of Society at large , as a matter of fact , becomes Policy of Quality and Equality in thinking and activities of contemporary Researchers. One such area of Research with...

Efficient Spectrum Sensing for Cognitive Radio Networks via Joint Optimization of Sensing Threshold and Duration using MATLAB/SIMULINK

Frequency band is valuable in communication media. Different Telecommunication regularity authority have the rights to assign the spectrum to the users and the policy to assign spectrum till date is static frequency allo...

Biochemical analysis of a few selected cyanobacterial species isolated from Deepor beel Ramsar site

With the emerging knowledge of biochemical composition, cyanobacteria are now considered as one of the potent group of organisms to be used in different industries. Though rich in diversity, the cyanobacterial flora of N...

Download PDF file
  • EP ID EP243485
  • DOI -
  • Views 139
  • Downloads 0

How To Cite

Prof. Mukund R. Joshi (2016). Object Detection and Tracking: A Review. International journal of Emerging Trends in Science and Technology, 3(4), 3774-3777. https://www.europub.co.uk/articles/-A-243485