Images Similarity Detection Based on Directional Gradient Angular Histogram
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 1 - Volume 1
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
Simultaneous Tracking and Action Recognition using the PCA-HOG Descriptor
CRV '06 Proceedings of the The 3rd Canadian Conference on Computer and Robot Vision
Multi-cue Pedestrian Detection and Tracking from a Moving Vehicle
International Journal of Computer Vision
Orientation histogram-based matching for region tracking
WIAMIS '07 Proceedings of the Eight International Workshop on Image Analysis for Multimedia Interactive Services
Tracking HoG Descriptors for Gesture Recognition
AVSS '09 Proceedings of the 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance
Monocular Pedestrian Detection: Survey and Experiments
IEEE Transactions on Pattern Analysis and Machine Intelligence
Rotation invariant curvelet features for texture image retrieval
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Fuzzy generalized hough transform invariant to rotation and scale in noisy environment
FUZZ-IEEE'09 Proceedings of the 18th international conference on Fuzzy Systems
Image Descriptors Based on the Edge Orientation
SMAP '09 Proceedings of the 2009 Fourth International Workshop on Semantic Media Adaptation and Personalization
Fourier-based rotation invariant image features
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Rapid and robust human detection and tracking based on omega-shape features
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Novel region-based modeling for human detection within highly dynamic aquatic environment
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
An adaptable time-delay neural-network algorithm for image sequence analysis
IEEE Transactions on Neural Networks
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In the past decade, there have been many proposed techniques on human detection. Dalal and Triggs suggested Histogram of Oriented Gradient (HOG) features combined with a linear SVM to handle the task. Since then, there have been many variations of HOG-based detection introduced. They are, nevertheless, based on an assumption that the human must be in upright pose due to the limitation in geometrical variation. HOG-based human detections obviously fails in monitoring human activities in the daily life such as sleeping, lying down, falling, and squatting. This paper focuses on exploring various features based on HOG for rotation invariant human detection. The results show that square-shaped window can cover more poses but will cause a drop in performance. Moreover, some rotation-invariant techniques used in image retrieval outperform other techniques in human classification on upright pose and perform very well on various poses. This could help in neglecting the assumption of upright pose generally used.