Analyzing Human Movements from Silhouettes via Fourier Descriptor

Human movement analysis has recently gained growing interest for computer vision researchers. In this paper, a simple but efficient algorithm using Fourier descriptor to represent spatial-temporal silhouette for human movement analysis is proposed. For each image sequence, motion detection and segmentation methods are used to segment and extract the moving silhouettes of people. Then, Fourier descriptor(FD)is used to describe the moving silhouettes. HMMs and Haudorff distance are applied to the time-varying distance signals described by FD for the activity classification and gait recognition. Experimental results have demonstrated that the proposed algorithm greatly improve the recognition rates.

[1]  Ralph Roskies,et al.  Fourier Descriptors for Plane Closed Curves , 1972, IEEE Transactions on Computers.

[2]  Lawrence R. Rabiner,et al.  A tutorial on hidden Markov models and selected applications in speech recognition , 1989, Proc. IEEE.

[3]  K. Mardia,et al.  Statistical Shape Analysis , 1998 .

[4]  Dariu Gavrila,et al.  The Visual Analysis of Human Movement: A Survey , 1999, Comput. Vis. Image Underst..

[5]  Jake K. Aggarwal,et al.  Human Motion Analysis: A Review , 1999, Comput. Vis. Image Underst..

[6]  Dengsheng Zhang,et al.  A comparative study on shape retrieval using Fourier descriptiors with different shape signatures , 2001 .

[7]  Guojun Lu,et al.  Content-based shape retrieval using different shape descriptors: a comparative study , 2001, IEEE International Conference on Multimedia and Expo, 2001. ICME 2001..

[8]  James W. Davis,et al.  The Recognition of Human Movement Using Temporal Templates , 2001, IEEE Trans. Pattern Anal. Mach. Intell..

[9]  P. Peixoto,et al.  Real-time gesture recognition system based on contour signatures , 2002, Object recognition supported by user interaction for service robots.

[10]  Isaac Cohen,et al.  Inference of human postures by classification of 3D human body shape , 2003, 2003 IEEE International SOI Conference. Proceedings (Cat. No.03CH37443).

[11]  Osama Masoud,et al.  A method for human action recognition , 2003, Image Vis. Comput..

[12]  Mark S. Nixon,et al.  Automatic Gait Recognition via Fourier Descriptors of Deformable Objects , 2003, AVBPA.

[13]  Tieniu Tan,et al.  Silhouette Analysis-Based Gait Recognition for Human Identification , 2003, IEEE Trans. Pattern Anal. Mach. Intell..

[14]  Rama Chellappa,et al.  Role of shape and kinematics in human movement analysis , 2004, CVPR 2004.

[15]  Tieniu Tan,et al.  A survey on visual surveillance of object motion and behaviors , 2004, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[16]  Masamichi Shimosaka,et al.  Hierarchical recognition of daily human actions based on Continuous Hidden Markov Models , 2004, Sixth IEEE International Conference on Automatic Face and Gesture Recognition, 2004. Proceedings..

[17]  Tiziana D'Orazio,et al.  Human activity recognition for automatic visual surveillance of wide areas , 2004, VSSN '04.

[18]  Rama Chellappa,et al.  Ieee Transactions on Pattern Analysis and Machine Intelligence 1 Matching Shape Sequences in Video with Applications in Human Movement Analysis. Ieee Transactions on Pattern Analysis and Machine Intelligence 2 , 2022 .

[19]  Mannes Poel,et al.  Example-based pose estimation in monocular images using compact fourier descriptors , 2005 .

[20]  Farzin Mokhtarian,et al.  Human motion recognition based on statistical shape analysis , 2005, IEEE Conference on Advanced Video and Signal Based Surveillance, 2005..

[21]  Rama Chellappa,et al.  "Shape Activity": a continuous-state HMM for moving/deforming shapes with application to abnormal activity detection , 2005, IEEE Transactions on Image Processing.

[22]  Hong Li,et al.  Multi-scale gesture recognition from time-varying contours , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.

[23]  Zhanyi Hu,et al.  Behavior Modeling and Recognition Based on Space-Time Image Features , 2006, 18th International Conference on Pattern Recognition (ICPR'06).

[24]  Wen Gao,et al.  Action Recognition in Broadcast Tennis Video , 2006, 18th International Conference on Pattern Recognition (ICPR'06).

[25]  Jitendra Malik,et al.  Recovering 3D human body configurations using shape contexts , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.