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Amit Kale
Researcher at Siemens
Publications - 51
Citations - 2061
Amit Kale is an academic researcher from Siemens. The author has contributed to research in topics: Gait (human) & Feature vector. The author has an hindex of 17, co-authored 49 publications receiving 1983 citations. Previous affiliations of Amit Kale include University of Kentucky & University of Maryland, College Park.
Papers
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Journal ArticleDOI
Identification of humans using gait
Amit Kale,Aravind Sundaresan,A. N. Rajagopalan,Naresh P. Cuntoor,Amit K. Roy-Chowdhury,Volker Krüger,Rama Chellappa +6 more
TL;DR: A view-based approach to recognize humans from their gait by employing a hidden Markov model (HMM) and the statistical nature of the HMM lends overall robustness to representation and recognition.
Book ChapterDOI
Gait analysis for human identification
TL;DR: The dynamic time-warping (DTW) approach is used for matching so that non-linear time normalization may be used to deal with the naturally-occuring changes in walking speed.
Proceedings ArticleDOI
Gait-based recognition of humans using continuous HMMs
TL;DR: This paper proposes a view-based approach to recognize humans through gait using a continuous hidden Markov model that serves to compactly capture structural and transitional features that are unique to an individual.
Proceedings ArticleDOI
Towards a view invariant gait recognition algorithm
TL;DR: It is shown that if the person is far enough from the camera, it is possible to synthesize a side view from any other arbitrary view using a single camera using the perspective projection model and the optical flow based structure from motion equations.
Proceedings ArticleDOI
Fusion of gait and face for human identification
TL;DR: This paper discusses fusion of face and gait cues for the single camera case, and presents a view invariant gait recognition algorithm for gait recognized face recognition.