NDLI: Fusing Kalman filter with TLD algorithm for target tracking

Content Provider	IEEE Xplore Digital Library
Author	Chengjian Sun Songhao Zhu Jiawei Liu
Copyright Year	2015
Description	Author affiliation: Sch. of Autom., Nanjing Univ. of Posts & Telecommun., Nanjing, China (Chengjian Sun; Songhao Zhu; Jiawei Liu)
Abstract	As one of the core content of intelligent monitoring, target detection and tracking is the basis for video content analysis and understanding. Tracking-Learning-Detection is considered as a highly efficient algorithm for tracking a single target. Although this algorithm can re-track a target when the target is occluded by other targets, there still exists many shortcomings. This paper deals with the issue of target tracking by fusing Kalman filter with tracking-learning-detection algorithm. Specifically, an improved Kalman filter is first utilized to enhance the reliability of tracking-learning-detection algorithm; then, the area of the target is estimated to reduce the detection region and to increase the processing speed. Experimental results conducted on PETS2009/2010 benchmark video library demonstrate that the proposed method can detect properly and track accurately an target in complex scenes.
Starting Page	3736
Ending Page	3741
File Size	551305
Page Count	6
File Format	PDF
ISBN	9789881563897
ISSN	19341768
DOI	10.1109/ChiCC.2015.7260218
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-07-28
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Technical Committee on Control Theory, Chinese Association of Automation
Subject Keyword	Algorithm design and analysis Improved Kalman Filter TLD Algorithm Computer vision Target tracking Heuristic algorithms Object detection Prediction algorithms Target Detection And Tracking Kalman filters Random Forest
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

Target tracking via improved TLD algorithm

Object Tracking Based on Genetic Algorithm and Kalman Filter

An improved mixture unscented Kalman filters algorithm for joint target tracking and classification

Dynamic target tracking with multi-feature covariance based on Kalman filter predictor

Moving object tracking system based on camshift and Kalman filter

Visual object tracking using Kalman filter, mean shift algorithm and spatiotemporal oriented energy features

An improved Kalman filter algorithm base on quaternion correlation in object tracking

A motion tracking method based on Kalman filter combined with mean-shift

Moving vehicle tracking based on improved tracking–learning–detection algorithm

Fusing Kalman filter with TLD algorithm for target tracking

Similar Documents

Target tracking via improved TLD algorithm

Object Tracking Based on Genetic Algorithm and Kalman Filter

An improved mixture unscented Kalman filters algorithm for joint target tracking and classification

Dynamic target tracking with multi-feature covariance based on Kalman filter predictor

Moving object tracking system based on camshift and Kalman filter

Visual object tracking using Kalman filter, mean shift algorithm and spatiotemporal oriented energy features

An improved Kalman filter algorithm base on quaternion correlation in object tracking

A motion tracking method based on Kalman filter combined with mean-shift

Moving vehicle tracking based on improved tracking–learning–detection algorithm

Fusing Kalman filter with TLD algorithm for target tracking