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Springer Analyzing Video Sequences of Multiple Humans Book

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Description

Explore advanced computer vision methods in Analyzing Video Sequences of Multiple Humans by Springer. This technical resource focuses on the analysis of video sequences involving human subjects through specialized tracking, posture estimation, and behavior recognition techniques. Readers will find detailed discussions on methods for tracking multiple individuals within a single scene. The text covers the development of a non-synchronous tracking algorithm that utilizes a Kalman filter applied across multiple video sequences to maintain accuracy. Additionally, the book addresses real-time 3D human body posture estimation and the recognition of specific human behaviors, such as gestures and activities. This volume is part of The International Series in Video Computing, providing a deep look into the technical processes required to interpret complex human motion in digital video environments.

Key Features

Covers multiple human tracking methods designed to monitor several individuals within a single video scene.

Explains a non-synchronous tracking algorithm that uses a Kalman filter for managing multiple video sequences.

Provides technical details on estimating human body postures in 3D within real-time environments.

Discusses methods for recognizing human behavior, including specific gestures and various activities.

Part of The International Series in Video Computing, focusing on computer vision-based analysis.

Product Specifications

Format
paperback
Domain
Amazon UK
Publication Date
31 October 2012
Listed Since
03 March 2013

Barcode

No barcode data available

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