The visual analysis of human movement: a survey
Computer Vision and Image Understanding
Human motion analysis: a review
Computer Vision and Image Understanding
Supervised-PCA and SVM Classifiers for Object Detection in Infrared Images
AVSS '03 Proceedings of the IEEE Conference on Advanced Video and Signal Based Surveillance
Recognizing Action at a Distance
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Histograms of Oriented Gradients for Human Detection
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Simultaneous Tracking and Action Recognition using the PCA-HOG Descriptor
CRV '06 Proceedings of the The 3rd Canadian Conference on Computer and Robot Vision
Representing shape with a spatial pyramid kernel
Proceedings of the 6th ACM international conference on Image and video retrieval
View-Invariant Human Action Detection Using Component-Wise HMM of Body Parts
AMDO '08 Proceedings of the 5th international conference on Articulated Motion and Deformable Objects
Semantic Representation and Recognition of Continued and Recursive Human Activities
International Journal of Computer Vision
Behavior histograms for action recognition and human detection
Proceedings of the 2nd conference on Human motion: understanding, modeling, capture and animation
Human detection using oriented histograms of flow and appearance
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part II
A survey on visual surveillance of object motion and behaviors
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
An overview of contest on semantic description of human activities (SDHA) 2010
ICPR'10 Proceedings of the 20th International conference on Recognizing patterns in signals, speech, images, and videos
Variations of a hough-voting action recognition system
ICPR'10 Proceedings of the 20th International conference on Recognizing patterns in signals, speech, images, and videos
A survey of video datasets for human action and activity recognition
Computer Vision and Image Understanding
Action recognition using 3D DAISY descriptor
Machine Vision and Applications
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In this paper, we present a novel descriptor to characterize human action when it is being observed from a far field of view. Visual cues are usually sparse and vague under this scenario. An action sequence is divided into overlapped spatial-temporal volumes to make reliable and comprehensive use of the observed features. Within each volume, we represent successive poses by time series of Histogram of Oriented Gradients (HOG) and movements by time series of Histogram of Oriented Optical Flow (HOOF). Supervised Principle Component Analysis (SPCA) is applied to seek a subset of discriminantly informative principle components (PCs) to reduce the dimension of histogram vectors without loss of accuracy. The final action descriptor is formed by concatenating sequences of SPCA projected HOG and HOOF features. A Support Vector Machines (SVM) classifier is trained to perform action classification. We evaluated our algorithm by testing it on one normal resolution and two low-resolution datasets, and compared our results with those of other reported methods. By using less than 1/5 the dimension a full-length descriptor, our method is able to achieve perfect accuracy on two of the datasets, and perform comparably to other methods on the third dataset.