Improving resolution by image registration
CVGIP: Graphical Models and Image Processing
IEEE Transactions on Pattern Analysis and Machine Intelligence
On Probabilistic Combination of Face and Gait Cues for Identification
FGR '02 Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition
Face Recognition from Face Profile Using Dynamic Time Warping
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 4 - Volume 04
Statistical feature fusion for gait-based human recognition
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Feature fusion of side face and gait for video-based human identification
Pattern Recognition
International Journal of Communication Networks and Distributed Systems
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Human recognition from arbitrary views is an important task for many applications, such as visual surveillance, covert security and access control. It has been found to be very difficult in reality, especially when a person is walking at a distance in read-world outdoor conditions. For optimal performance, the system should use as much information as possible from the observations. In this paper, we propose an innovative system, which combines cues of face profile and gait silhouette from the single camera video sequences. For optimal face profile recognition, we first reconstruct a high-resolution face profile image from several adjacent low-resolution video frames. Then we use a curvature-based matching method for recognition. For gait, we use Gait Energy Image (GEI) to characterize human walking properties. Recognition is carried out based on the direct GEI matching. Several schemes are considered for fusion of face profile and gait. A number of dynamic video sequences are tested to evaluate the performance of our system. Experiment results are compared and discussed.