NDLI: Recognition of human and animal movement using infrared video streams

Content Provider	IEEE Xplore Digital Library
Author	Jiang, Q. Daniell, C.
Copyright Year	2004
Description	Author affiliation: Inf. Sci. Lab., HRL Labs., Malibu, CA, USA (Jiang, Q.; Daniell, C.)
Abstract	Distinguishing human motion from animal motion is important in many applications using infrared video streams, such as surveillance systems for homeland security and collision avoidance systems for nighttime driving safety. In this paper we present a technique to distinguish human motion from animal motion using infrared video sequences. In our technique, we uses frame differencing to represent object motion. Space-time correlation is used to characterize different type of motions. Our motion features are defined by Renyi entropy and mean values calculated from the correlations. A support vector machine-based classifier is used to classify the motion features. Our experimental results show that our technique is quite effective at distinguishing human motion from animal motion using infrared video sequences.
Starting Page	1265
Ending Page	1268
File Size	321373
Page Count	4
File Format	PDF
ISBN	0780385543
ISSN	15224880
DOI	10.1109/ICIP.2004.1419728
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-10-24
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Humans Animals Streaming media Video sequences Infrared imaging Safety Entropy Infrared image sensors Image sensors Infrared surveillance
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

Behavior interpretation from traffic video streams

Contextual Action Recognition in Multi-sensor Nighttime Video Sequences

Recovering non-rigid 3D shape from image streams

Sight enhancement through video fusion in a surveillance system

Registration of IR and EO Video Sequences based on Frame Difference

Shadow Detection Method in Video Surveillance System

Towards coherent natural language description of video streams

Object-Video Streams for Preserving Privacy in Video Surveillance

Design and implementation of an embedded surveillance system with video streaming recording triggered by an infrared sensor circuit

Recognition of human and animal movement using infrared video streams

Similar Documents

Behavior interpretation from traffic video streams

Contextual Action Recognition in Multi-sensor Nighttime Video Sequences

Recovering non-rigid 3D shape from image streams

Sight enhancement through video fusion in a surveillance system

Registration of IR and EO Video Sequences based on Frame Difference

Shadow Detection Method in Video Surveillance System

Towards coherent natural language description of video streams

Object-Video Streams for Preserving Privacy in Video Surveillance

Design and implementation of an embedded surveillance system with video streaming recording triggered by an infrared sensor circuit

Recognition of human and animal movement using infrared video streams