Face and Human Gait Recognition Using Image-to-Class Distance

Huang, Yung-Fu; Xu, Dong; Cham, Tat‐Jen

doi:10.1109/tcsvt.2009.2035852

Cited by 51 publications

(25 citation statements)

References 26 publications

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“…Patch Distribution Features are built on the GEI representation in [17], [18]. A new image-to-class distance metrics was proposed in [19] to enable efficient comparison of different gait patterns. [20] performs spatiotemporal silhouette print comparison via the Dynamic Time Warping (DTW) signal processing algorithm, and features from simple silhouette averaging are utilized in [21].…”

Section: A Related Work In Gait Analysismentioning

confidence: 99%

Lidar-Based Gait Analysis and Activity Recognition in a 4D Surveillance System

Benedek

Gálai

Nagy

et al. 2018

IEEE Trans. Circuits Syst. Video Technol.

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Section: A Related Work In Gait Analysismentioning

confidence: 99%

Lidar-Based Gait Analysis and Activity Recognition in a 4D Surveillance System

Benedek

Gálai

Nagy

et al. 2018

IEEE Trans. Circuits Syst. Video Technol.

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“…They include the sole drug scheduling problem, the multiple drugs scheduling problem, and the backup-scheme selection problem. The Kuhn-Munkres algorithm [12,13], the spectral clustering-based method [14,15], and the similarity metric technique of bipartite graph, are all considered to solve the modeling and the computation tasks of resource scheduling.…”

Section: Figmentioning

confidence: 99%

Modeling and Simulation of Scheduling Medical Materials Using Graph Model for Complex Rescue

Lv¹,

Zheng²,

Tong³

et al. 2017

J Inf Process Syst

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A new medical materials scheduling system and its modeling method for the complex rescue are presented. Different from other similar system, first both the BeiDou Satellite Communication System (BSCS) and the Special Fiber-optic Communication Network (SFCN) are used to collect the rescue requirements and the location information of disaster areas. Then all these messages will be displayed in a special medical software terminal. After that the bipartite graph models are utilized to compute the optimal scheduling of medical materials. Finally, all these results will be transmitted back by the BSCS and the SFCN again to implement a fast guidance of medical rescue. The sole drug scheduling issue, the multiple drugs scheduling issue, and the backup-scheme selection issue are all utilized: the Kuhn-Munkres algorithm is used to realize the optimal matching of sole drug scheduling issue, the spectral clustering-based method is employed to calculate the optimal distribution of multiple drugs scheduling issue, and the similarity metric of neighboring matrix is utilized to realize the estimation of backup-scheme selection issue of medical materials. Many simulation analysis experiments and applications have proved the correctness of proposed technique and system.

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“…By using a "cutting and fitting" scheme, Han and Bhanu [26] generated synthetic GEIs to simulate the walking surface effect. By claiming that walking surface may cause spatial misalignment, Image-to-Class distance was utilized in [33] to allow feature matching to be carried out within a spatial neighborhood. By using the techniques of universal background model (UBM) learning and maximum a posteriori (MAP) adaptation, Xu et al proposed the Gabor-based patch distribution feature (Gabor-PDF) [80].…”

Section: Gait Feature Extraction and Classificationmentioning

confidence: 99%

“…By using the techniques of universal background model (UBM) learning and maximum a posteriori (MAP) adaptation, Xu et al proposed the Gabor-based patch distribution feature (Gabor-PDF) [80]. Significant performance gain can be achieved against walking surface by these methods [26], [33], [80].…”

Section: Gait Feature Extraction and Classificationmentioning

confidence: 99%

People Identification and Tracking Through Fusion of Facial and Gait Features

Wei

et al. 2014

Biometric Authentication

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Abstract. This paper reviews the contemporary (face, gait, and fusion) computational approaches for automatic human identification at a distance. For remote identification, there may exist large intra-class variations that can affect the performance of face/gait systems substantially. First, we review the face recognition algorithms in light of factors, such as illumination, resolution, blur, occlusion, and pose. Then we introduce several popular gait feature templates, and the algorithms against factors such as shoe, carrying condition, camera view, walking surface, elapsed time, and clothing. The motivation of fusing face and gait, is that, gait is less sensitive to the factors that may affect face (e.g., low resolution, illumination, facial occlusion, etc.), while face is robust to the factors that may affect gait (walking surface, clothing, etc.). We review several most recent face and gait fusion methods with different strategies, and the significant performance gains suggest these two modality are complementary for human identification at a distance.

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Face and Human Gait Recognition Using Image-to-Class Distance

Cited by 51 publications

References 26 publications

Lidar-Based Gait Analysis and Activity Recognition in a 4D Surveillance System

Lidar-Based Gait Analysis and Activity Recognition in a 4D Surveillance System

Modeling and Simulation of Scheduling Medical Materials Using Graph Model for Complex Rescue

People Identification and Tracking Through Fusion of Facial and Gait Features

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