Novel approaches for minutiae verification in fingerprint images
Sharat Chikkerur, Venu Govindaraju, et al.
WACV 2005
We describe a video-rate surveillance algorithm for determining whether people are carrying objects or moving unencumbered from a stationary camera. The contribution of the paper is the shape analysis algorithm that both determines whether a person is carrying an object and segments the object from the person so that it can be tracked, e.g., during an exchange of objects between two people. As the object is segmented, an appearance model of the object is constructed. The method combines periodic motion estimation with static symmetry analysis of the silhouettes of a person in each frame of the sequence. Experimental results demonstrate robustness and real-time performance of the proposed algorithm.
Sharat Chikkerur, Venu Govindaraju, et al.
WACV 2005
Ritendra Datta, Jianying Hu, et al.
ICPR 2008
Sören Bleikertz, Carsten Vogel, et al.
ACSAC 2014
Fearghal O'Donncha, Albert Akhriev, et al.
Big Data 2021