research-article

Activity Recognition Using a Combination of Category Components and Local Models for Video Surveillance

Authors:

Weiyao Lin,

Ming-Ting Sun,

R. Poovendran,

Zhengyou ZhangAuthors Info & Claims

IEEE Transactions on Circuits and Systems for Video Technology, Volume 18, Issue 8

Pages 1128 - 1139

https://doi.org/10.1109/TCSVT.2008.927111

Published: 01 August 2008 Publication History

Abstract

This paper presents a novel approach for automatic recognition of human activities for video surveillance applications. We propose to represent an activity by a combination of category components and demonstrate that this approach offers flexibility to add new activities to the system and an ability to deal with the problem of building models for activities lacking training data. For improving the recognition accuracy, a confident-frame-based recognition algorithm is also proposed, where the video frames with high confidence for recognizing an activity are used as a specialized local model to help classify the remainder of the video frames. Experimental results show the effectiveness of the proposed approach.

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Lopez-Cuevas AMedina-Perez MMonroy RRamirez-Marquez JTrejo L(2018)FiToVizIEEE Transactions on Affective Computing10.1109/TAFFC.2017.27414789:3(372-382)Online publication date: 1-Jul-2018
https://dl.acm.org/doi/10.1109/TAFFC.2017.2741478
Zhou MZhang YLi BLin X(2017)Complexity Correlation-Based CTU-Level Rate Control with Direction Selection for HEVCACM Transactions on Multimedia Computing, Communications, and Applications10.1145/310761613:4(1-23)Online publication date: 12-Aug-2017
https://dl.acm.org/doi/10.1145/3107616
Zhou MZhang YLi BHu H(2017)Complexity-based intra frame rate control by jointing inter-frame correlation for high efficiency video codingJournal of Visual Communication and Image Representation10.1016/j.jvcir.2016.11.01342:C(46-64)Online publication date: 1-Jan-2017
https://dl.acm.org/doi/10.1016/j.jvcir.2016.11.013
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Activity Recognition Using a Combination of Category Components and Local Models for Video Surveillance
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision tasks

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cover image IEEE Transactions on Circuits and Systems for Video Technology

IEEE Transactions on Circuits and Systems for Video Technology Volume 18, Issue 8

August 2008

174 pages

ISSN:1051-8215

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IEEE Press

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Published: 01 August 2008

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Lopez-Cuevas AMedina-Perez MMonroy RRamirez-Marquez JTrejo L(2018)FiToVizIEEE Transactions on Affective Computing10.1109/TAFFC.2017.27414789:3(372-382)Online publication date: 1-Jul-2018
https://dl.acm.org/doi/10.1109/TAFFC.2017.2741478
Zhou MZhang YLi BLin X(2017)Complexity Correlation-Based CTU-Level Rate Control with Direction Selection for HEVCACM Transactions on Multimedia Computing, Communications, and Applications10.1145/310761613:4(1-23)Online publication date: 12-Aug-2017
https://dl.acm.org/doi/10.1145/3107616
Zhou MZhang YLi BHu H(2017)Complexity-based intra frame rate control by jointing inter-frame correlation for high efficiency video codingJournal of Visual Communication and Image Representation10.1016/j.jvcir.2016.11.01342:C(46-64)Online publication date: 1-Jan-2017
https://dl.acm.org/doi/10.1016/j.jvcir.2016.11.013
Subudhi BGhosh SNanda PGhosh A(2017)Moving object detection using spatio-temporal multilayer compound Markov Random Field and histogram thresholding based change detectionMultimedia Tools and Applications10.1007/s11042-016-3698-276:11(13511-13543)Online publication date: 1-Jun-2017
https://dl.acm.org/doi/10.1007/s11042-016-3698-2
Chahuara PFleury APortet FVacher MHunter GKymäläinen THerrera-Acuña R(2016)On-line human activity recognition from audio and home automation sensorsJournal of Ambient Intelligence and Smart Environments10.3233/AIS-1603868:4(399-422)Online publication date: 1-Jan-2016
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Subudhi BGhosh SCho SGhosh A(2016)Integration of fuzzy Markov random field and local information for separation of moving objects and shadowsInformation Sciences: an International Journal10.1016/j.ins.2015.10.031331:C(15-31)Online publication date: 20-Feb-2016
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Li XFang MZhang JWu J(2016)Sample selection for visual domain adaptation via sparse codingImage Communication10.1016/j.image.2016.03.00944:C(92-100)Online publication date: 1-May-2016
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Rao Y(2015)Automatic vehicle recognition in multiple cameras for video surveillanceThe Visual Computer: International Journal of Computer Graphics10.1007/s00371-013-0917-y31:3(271-280)Online publication date: 1-Mar-2015
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Chu HLin WWu JZhou XChen YLi HBabaguchi NAizawa KSmith JSatoh SPlagemann THua XYan R(2012)A new heat-map-based algorithm for human group activity recognitionProceedings of the 20th ACM international conference on Multimedia10.1145/2393347.2396385(1069-1072)Online publication date: 29-Oct-2012
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Lin WSun MLi HHu H(2010)A new shot change detection method using information from motion estimationProceedings of the Advances in multimedia information processing, and 11th Pacific Rim conference on Multimedia: Part II10.5555/1894049.1894076(264-275)Online publication date: 21-Sep-2010
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