Elsevier Multimodal Behavior Analysis in the Wild - Computer Vision Book

Multimodal Behavior Analysis in the Wild: Advances and Challenges delivers comprehensive coverage of behavioral signal processing across multiple data modalities, with particular emphasis on audio and video alongside emerging technologies like accelerometer and proximity data. This Computer Vision and Pattern Recognition resource examines tasks spanning low-level processes including speaker detection and source separation, through middle-level applications such as conversational group detection and addresser identification. The book presents state-of-the-art methodologies whilst critically addressing the strengths and limitations of current technologies in real-world behavioral analysis scenarios. Published by Academic Press, this academic text serves researchers, practitioners, and students seeking to understand how modern multimodal systems capture and interpret human behaviour in unconstrained environments. The structured approach from foundational signal processing through complex analytical tasks makes it an essential reference for advancing knowledge in behavioural computing and pattern recognition applications.