Human features detection in video surveillance

Master thesis English OPEN
Barbosa, Patrícia Margarida Silva de Castro Neves;
  • Subject: Vídeo vigilância | :Engenharia Eletrotécnica, Eletrónica e Informática [Engenharia e Tecnologia] | Human features selection | Skeleton | Esqueleto | Características humanas | Video surveillance

Dissertação de mestrado integrado em Engenharia Eletrónica Industrial e Computadores Human activity recognition algorithms have been studied actively from decades using a sequence of 2D and 3D images from a video surveillance. This new surveillance solutions and t... View more
  • References (22)
    22 references, page 1 of 3

    [1] J. Ponce and D. Forsyth, Computer vision: a modern approach. 2012.

    [2] D. Weinland and D. Weinland, “A Survey of Vision-Based Methods for Action Representation , Segmentation and Recognition,” 2010.

    [3] C. R. Wren, A. Azarbayejani, T. Darrell, and A. P. Pentland, “Pfinder: real-time tracking of the human body,” IEEE Trans. Pattern Anal. Mach. Intell., vol. 19, no. 7, pp. 780-785, 1997.

    [4] L. S. Davis, I. Haritaoglu, D. Harwood, and L. S. Davis, “W4 : Who ? When ? Where ? What ? A Real Time System for Detecting and Tracking People A Real Time System for Detecting and Tracking People W 4 : Who ? When ? Where ? What ?,” April, 1998.

    [5] H. Fujiyoshi and A. J. Lipton, “Real-time human motion analysis by image skeletonization,” Proc. Fourth IEEE Work. Appl. Comput. Vision. WACV'98, pp. 15-21, 1998.

    [6] T. B. Moeslund and E. Granum, “A Survey of Computer Vision-Based Human Motion Capture,” Comput. Vis. Image Underst., vol. 81, no. 3, pp. 231-268, 2001.

    [7] D. Zhang and G. Lu, “Segmentation of moving objects in image sequence: A review,” Circuits, Syst. Signal Process., vol. 20, no. 2, pp. 143-183, 2001.

    [8] P. Smith, D. B. Reid, C. Environment, L. Palo, P. Alto, and P. L. Smith, “Full-Text,” vol. 20, no. 1, pp. 62-66, 1979.

    [9] B. Horn and B. Schunck, “'Determining optical flow': A retrospective,” Artif. Intell., vol. 59, no. 1- 2, pp. 81-87, 1993.

    [10] J. Klappstein, T. Vaudrey, C. Rabe, A. Wedel, and R. Klette, “Moving object segmentation using optical flow and depth information,” Pacific Rim Symp. Image Video Technol., pp. 611-623, 2009.

  • Metrics
Share - Bookmark