Human Recognition in Video
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Human Recognition in Video
Danial Behzadi
Advisor:
Dr. Hadi Moradi
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Research Topics
● Image processing● Computer vision● Biometrics● Pattern recognition
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What is Biometrics?
● Study of methods for uniquely recognizing humans
● Based upon intrinsic physical or behavioral traits
● fingerprint, face, voice, gait, iris
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Problem
● Performance is constrained by the intrinsic factors of a trait
● No single biometrics meets all the requirements
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Solution
● Expand the feature space by fusion
● US-visit: face and finger print
● We: gait and face for now
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Gait-based Human Recognition
● Pros:– Can be identified at distant– Can track individuals over time
● Cons:– Affected by clothing– Affected by physical conditions
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Face-based Human Recognition
● Pros:– Non-intrusive– Simple computations
● Cons:– Affected by resolution, illumination, etc.– Low level of confidence in large scale
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Gait Energy Image (GEI)
● A spatio-temporal compact representation of gait in video
● Used to characterize human walking properties
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GEI Representation
G(x , y)=1N∑1
N
Bt (x , y)
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High-resolution Image Creation
● Construsct a single high-resolution image from multiple low-resolution images
● An iterative method by M. Irani and S. Peleg, 1993
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Reconstructed Face Image
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Feature Extraction and Transform
● Using PCA to reduce dimension of feature space
● Using MDA to identify the most discriminating features
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Technical Approach
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Performance
Fusion Method
LR Face Only
HR Face Only
Gait OnlyLR Face and Gait
HR Face and Gait
Recognit-ion Rate71.7%84.8%87.0%87.0%87.0%
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Future Works
● Adding a new feature● Use 3D models● Real-time computation● GPU acceleraion
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References
● Bir Bhanu, Ju Han
Human Recognition at a Distance in video, 2010
● Xiaoli Zhou and Bir Bhanu
Feature Fusion of Face and Gait for Human Recognition, 2006
● M. Irani and S. Peleg.
Motion analysis for image enhancement: Resolution, occlusion and transparency, 1993
● C. Liu and H. Wechsler.
A shape- and texture-based enhanced fisher classifier for face recognition, 2001