NDLI: Traffic anomaly detection based on image descriptor in videos

Content Provider	Springer Nature Link
Author	Li, Yanshan Liu, Weiming Huang, Qinghua
Copyright Year	2015
Abstract	The huge and ever growing volume of traffic video poses a compelling demand for efficient automatic detection of traffic anomaly. In this paper, a new traffic anomaly detection algorithm is introduced. It firstly divides a traffic video into several video cubes in temporal domain, and each video cube is divided into video blocks in spatial domain. Each image block of a video block is described using the local invariant features and the visual codebook approach. Based on the descriptor of the image block, we count the category number of the block (CNB) of a video block. Then, a Gaussian distribution model for estimating the probability of normal traffic with respect to the CNB is learned. The learned Gaussian distribution model is then used to detect the traffic anomaly from the test traffic video. Eventually, the results of all video blocks are fused to achieve the final decision. Experimental results show that the proposed algorithm performs better than two existing algorithms on both the intersection traffic videos and main road traffic videos.
Starting Page	2487
Ending Page	2505
Page Count	19
File Format	PDF
ISSN	13807501
Journal	Multimedia Tools and Applications
Volume Number	75
Issue Number	5
e-ISSN	15737721
Language	English
Publisher	Springer US
Publisher Date	2015-04-30
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Traffic anomaly detection Image description Local invariant feature Video analysis Multimedia Information Systems Computer Communication Networks Data Structures, Cryptology and Information Theory Special Purpose and Application-Based Systems
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications Hardware and Architecture Software Media Technology

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

A novel specific image scenes detection method

Video structured description technology based intelligence analysis of surveillance videos for public security applications

Fine-search for image copy detection based on local affine-invariant descriptor and spatial dependent matching

An efficient subsequence search for video anomaly detection and localization

A traffic anomaly detection approach in communication networks for applications of multimedia medical devices

A novel image copy detection scheme based on the local multi-resolution histogram descriptor

Efficient copy detection for compressed digital videos by spatial and temporal feature extraction

A novel tool for summarization of arthroscopic videos

CCTV object detection with fuzzy classification and image enhancement

Traffic anomaly detection based on image descriptor in videos

Similar Documents

A novel specific image scenes detection method

Video structured description technology based intelligence analysis of surveillance videos for public security applications

Fine-search for image copy detection based on local affine-invariant descriptor and spatial dependent matching

An efficient subsequence search for video anomaly detection and localization

A traffic anomaly detection approach in communication networks for applications of multimedia medical devices

A novel image copy detection scheme based on the local multi-resolution histogram descriptor

Efficient copy detection for compressed digital videos by spatial and temporal feature extraction

A novel tool for summarization of arthroscopic videos

CCTV object detection with fuzzy classification and image enhancement

Traffic anomaly detection based on image descriptor in videos