Recognition of Visual Activities and Interactions by Stochastic Parsing
IEEE Transactions on Pattern Analysis and Machine Intelligence
Beyond Tracking: Modelling Activity and Understanding Behaviour
International Journal of Computer Vision
Audio-visual speech modeling for continuous speech recognition
IEEE Transactions on Multimedia
Audio–Visual Affective Expression Recognition Through Multistream Fused HMM
IEEE Transactions on Multimedia
Enhanced human behavior recognition using HMM and evaluative rectification
Proceedings of the first ACM international workshop on Analysis and retrieval of tracked events and motion in imagery streams
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In this work, we provide a framework for recognizing human behavior from multiple cameras in structured industrial environments Since target recognition and tracking can be very challenging, we bypass these problems by employing an approach similar to Motion History Images for feature extraction Modeling and recognition are performed through the use of Hidden Markov Models (HMMs) with Gaussian observation likelihoods The problems of limited visibility and occlusions are addressed by showing how the framework can be extended for multiple cameras, both at the feature and at the state level Finally, we evaluate the performance of the examined approaches under real-life visual behavior understanding scenarios and we discuss the obtained results.