NDLI: Region edge histogram: A new feature for region-based tracking

Content Provider	IEEE Xplore Digital Library
Author	Yu, Wangsheng Tian, Xiaohua Hou, Zhiqiang Huang, Anqi Liu, Xiang
Copyright Year	2014
Description	Author affiliation: Information and Navigation College, Air Force Engineering University, Xi'an, Shaanxi, 710077, China (Yu, Wangsheng; Tian, Xiaohua; Hou, Zhiqiang; Huang, Anqi; Liu, Xiang)
Abstract	We present a new histogram feature for region-based tracking, which we refer as region edge histogram (REH). Firstly, we introduce some new concepts such as bin region and edge complexity. A bin region consists of the pixels falling in the corresponding histogram bin, and edge complexity denotes a ratio of the circumference to the area of bin region. Then, we propose our feature based on conventional histogram and the edge complexity of its bin region. We confirm that a higher edge complexity shows a more complicated space distribution to bin region. Finally, we derive a compact form of REH and discuss its accelerated computing method based on integral histogram. We design a region-based tracker using exhaustive search method to compare the performances of conventional histogram, weighted histogram, spatiogram and REH. Experiments show that REH obtains the lowest tracking errors and owns a relative high efficiency to conventional histogram, which is much higher than that of the other two.
Starting Page	1180
Ending Page	1185
File Size	853148
Page Count	6
File Format	PDF
ISBN	9781479921881
ISSN	21645221
e-ISBN	9781479921867
DOI	10.1109/ICOSP.2014.7015186
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-10-19
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Histograms Target tracking Complexity theory Graphical models Distribution functions Acceleration Indexes
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

Image salient region detection based on histogram

An improved particle filter for multi-feature tracking application

A particle filter tracking algorithm based on adaptive feature fusion strategy

Research of kernel particle filtering target tracking algorithm based on multi-feature fusion

Multi-feature target tracking based on lifting scheme

Multi-feature Visual Tracking Using Adaptive Unscented Kalman Filtering

100+ Times Faster Weighted Median Filter (WMF)

Multiway histogram intersection for multi-target tracking

Self-Adaptive Visual Tracking Method for Illumination Varying Based on Multi-feature Fusion

Region edge histogram: A new feature for region-based tracking

Similar Documents

Image salient region detection based on histogram

An improved particle filter for multi-feature tracking application

A particle filter tracking algorithm based on adaptive feature fusion strategy

Research of kernel particle filtering target tracking algorithm based on multi-feature fusion

Multi-feature target tracking based on lifting scheme

Multi-feature Visual Tracking Using Adaptive Unscented Kalman Filtering

100+ Times Faster Weighted Median Filter (WMF)

Multiway histogram intersection for multi-target tracking

Self-Adaptive Visual Tracking Method for Illumination Varying Based on Multi-feature Fusion

Region edge histogram: A new feature for region-based tracking