Visual Surveillance

Surveillance is the monitoring of the behavior, activities, or other changing information, usually of people for the purpose of influencing, managing, directing, or protecting them [1]. Similarly, Visual surveillance is an attempt to detect, recognize and track certain object from image sequences, and more generally to understand and describe object behaviors [2].

Background subtraction

Background subtraction, also known as foreground detection is one of the most important pre-processing step in many computer vision applications. Typically the background subtraction process forms the first stage in automated visual surveillance systems, as well as other applications such as motion capture, object tracking and augmented reality.

Advanced motion detection

This topic includes to detecting intrusion, loitering and sterile zone.

Abandoned/Removed object detection

Abandoned or removed object detection detection is important issue.

Publication

International Journal

  • Sajid Javed, Seon Ho Oh, Thierry Bouwmans, Soon Ki Jung, Robust background subtraction to global illumination changes via multiple features-based online robust principal components analysis with Markov random field, Journal of Electronic Imaging, Vol.24, No.4, pp.043011(1-15), ISSN.10179909, 2015
  • Sajid Javed, Seon Ho Oh, Andrew Sobral, Thierry Bouwmans, Soon Ki Jung, OR-PCA with MRF for Robust Foreground Detection in Highly Dynamic Backgrounds, Lecture Notes in Computer Science, Vol.9005, pp.284-299, ISSN.03029743, 2015

International Conference

  • Andrews Sobral, Sajid Javed, Soon Ki Jung, Thierry Bouwmans, El-hadi Zahzah, Online Stochastic Tensor Decomposition for Background Subtraction in Multispectral Video Sequences, International Conference on Computer Vision(ICCV 2015), pp.946-953, 2015
  • Sajid Javed, Seon Ho Oh, Andrews Sobral, Thierry Bouwmans, Soon Ki Jung, Background Subtraction via Superpixel-based Online Matrix Decomposition with Structured Foreground Constraints, International Conference on Computer Vision(ICCV 2015), pp.930-938, 2015
  • Sajid Javed, Theirry Bouwmans, Soon Ki Jung, Combining ARF and OR-PCA for Robust Background Subtraction of Noisy Videos, 18th International Conference on Image Analysis and Processing(ICIAP 2015), pp.340-351, 2015
  • Sajid Javed, Theirry Bouwmans, Soon Ki Jung, Stochastic Decomposition into Low Rank and Sparse Tensor for Robust Background Subtraction, Sixth International Conference on Imaging for Crime Detection and Prevention(ICDP 2015), pp.1-6, 2015
  • Sajid Javed, Andrews Sobral, Theirry Bouwmans, Soon Ki Jung, OR-PCA with Dynamic Feature Selection for Robust Background Subtraction, Annual ACM Symposium on Applied Computing (ACM SAC 2015), pp.86-91, 2015
  • Sajid Javed, Theirry Bouwmans, Soon Ki Jung, Depth Extended Online RPCA with Spatiotemporal Constraints for Robust Background Subtraction, 2015 Frontiers of Computer Vision(FCV 2015), 2015
  • Sajid Javed, Seon Ho Oh, Andrew Sobral, Thierry Bouwmans, Soon Ki Jung, OR-PCA with MRF for Robust Foreground Detection in Highly Dynamic Backgrounds, Asian Conference on Computer Vision (ACCV 2014), 2014
  • Sajid Javed, Seon Ho Oh, Junhyeok Heo, Soon Ki Jung, Robust Background Subtraction via Online Robust PCA using Image Decomposition, International Conference on Research in Adaptive and Convergent System (ACM RACS 2014), pp.105-110, 2014
  • Seon Ho Oh, Sajid Javed and Soon Ki Jung, Foreground Object Detection and Tracking for Visual Surveillance System: A Hybrid Approach, International Conference on Frontiers of Information Technology (IEEE FIT 2013), pp.13-18, 2013

Domestic Conference

  • 구재호, 오선호, 정순기, 강건한 온라인 주성분 분석을 이용한 버려진 물체 검출, 2014 한국컴퓨터종합학술대회, pp.1319-1321, 2014
  • 쟈베드샤지드, 오선호, 정순기, An Improved Pixel-based Adaptive Background Segmenter for Visual Surveillance System, HCI 2014 학술대회, pp.579-582, 2014
  • 쟈베드샤지드, 오선호, 정순기, 영상 감시 시스템을 위한 배경 차분 알고리즘의 구현, 2013 한국지능시스템학회 춘계학술대회, pp.25-26, 2013
  • 쟈베드샤지드, 오선호, 정순기, HOG를 이용한 배경 모델링 방법을 통한 전경 물체 검출, HCI 2013 학술대회, pp.816-818, 2013

Patent Registration

  • 발명자: 정순기, 오선호, 쟈베드샤지드, 발명의 명칭: 영상 분해와 강건한 온라인 주성분 분석을 이용한 전경 검출 방법, 이를 수행하기 위한 기록 매체 및 장치, 등록번호: 10-1583787, 등록일자: 2016.01.04

Patent Application

  • 발명자: 정순기,구재호,쟈베드 샤지드, 오선호, 발명의 명칭: 적응적으로 저조도를 개선하는 영상 처리 장치 및 방법, 그리 고 그를 이용한 객체 검출 장치, 출원번호: 10-2015-0119344, 출원일자: 2015.08.2

Reference

  1. D. Lyon, Surveillance studies: An overview. Polity, 2007.
  2. W. Hu, T. Tan, L. Wang, and S. Maybank, “A survey on visual surveillance of object motion and behaviors,” Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on, vol. 34, no. 3, pp. 334–352, Aug. 2004.