NDLI: Adaptive automatic tracking, learning and detection of any real time object in the video stream

Content Provider	IEEE Xplore Digital Library
Author	Nemade, B. Bharadi, V.A.
Copyright Year	2014
Description	Author affiliation: IT Dept., Mumbai Univ., Mumbai, India (Nemade, B.; Bharadi, V.A.)
Abstract	Surveillance is important in most of the sensitive areas for crime detection. Tracking, learning and detection of any real time object in the video stream is an essential part of surveillance. Researchers have designed the object tracking systems for better efficiency but these systems sometime fails due to loss of information caused by complex shapes, rapid motion, illumination changes, scaling and projection of 3D world on 2D image. Apart from these system does not perform well for objects such as foot travelers. This paper proposes a modified PN learning algorithm for enhancing the performance of system. In this algorithm, object is to be tracked as P-Type object and background is divided into a numbers of equal size N-Type objects. It achieves performance improvement by reducing the detector errors. Proposed modified PN learning algorithms achieves performance to increase the frame processing by adding background subtraction technique for any real time object detection. Special feature used in this techniques is Region of Interest (ROI) which minimizes the searching region. Proposed system compares the result using benchmark data set. ROI and background subtraction technique used in this approach minimizes delay for frame processing, increases number of successfully tracked frames, matching percentage and learning index value.
Starting Page	569
Ending Page	575
File Size	269042
Page Count	7
File Format	PDF
e-ISBN	9781479942367
DOI	10.1109/CONFLUENCE.2014.6949039
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-09-25
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Decision support systems Object Detection Adaptive systems Background subtraction Abstracts Object detection PN learning Adaptive Learning Information technology Template matching Tracking Next generation networking
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

REAL-TIME OBJECT TRACKING AND LEARNING USING TEMPLATE MATCHING

Learning and matching multiscale template descriptors for real-time detection, localization and tracking.

Multi-object Tracking in Video Sequences Based on Background Subtraction and SIFT Feature Matching

Real time object detection and tracking: Histogram matching and Kalman filter approach

Real Time Moving Object Tracking In Video Processing

Icsp'o4 proceedings multiple moving objects tracking for video surveillance systems*.

Object Detection and Object Tracking Using Background Subtraction for Surveillance Application

A Review on Object Detection and Tracking Methods

Improved moving object detection algorithm based on adaptive background subtraction

Adaptive automatic tracking, learning and detection of any real time object in the video stream

Similar Documents

REAL-TIME OBJECT TRACKING AND LEARNING USING TEMPLATE MATCHING

Learning and matching multiscale template descriptors for real-time detection, localization and tracking.

Multi-object Tracking in Video Sequences Based on Background Subtraction and SIFT Feature Matching

Real time object detection and tracking: Histogram matching and Kalman filter approach

Real Time Moving Object Tracking In Video Processing

Icsp'o4 proceedings multiple moving objects tracking for video surveillance systems*.

Object Detection and Object Tracking Using Background Subtraction for Surveillance Application

A Review on Object Detection and Tracking Methods

Improved moving object detection algorithm based on adaptive background subtraction

Adaptive automatic tracking, learning and detection of any real time object in the video stream