Game Development Reference
In-Depth Information
Some application areas of the real-time system are:
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Surveillance
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Provide security in a campus, shopping mall, office complex, casino, etc.
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Detect people's movements, gestures and postures from a security check-
point in an airport, parking garage, or other facility
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Traffic
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Monitor pedestrian activity in an uncontrolled and/or controlled crosswalk
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Smart Environments
•
Entertainment
Different applications require different levels of modeling-related performance
parameters, e.g., accuracy, speed and robustness, hence, different 3D tech-
niques. First, we revise the main components of 3D techniques and give a brief
overview of previous work on basic 3D algorithm steps, such as disparity map
generation, reconstruction and rendering. Then, we review the state of the art
of human detection/activity recognition methods while placing emphasis on
multi-camera systems. Specifically, general stereo vision issues and 2D/3D
human activity recognition issues are reviewed with respect to their real-time
applicability. In Section “Real Time 3D Analysis,” we present our multi-camera
system developed for practical applications, such as video surveillance and
human-computer interaction. A novel 3D method is proposed to increase
accuracy by keeping the complexity level low enough to run real-time applica-
tions. The section “Architectures for 3D Video Processing” further investigates
the architectures required to perform these tasks in real-time. We conclude the
chapter with a brief presentation of the major contributions of practical 3D
methods as proposed in this chapter and discuss future directions.
3D Human Detection and Activity
Recognition Techniques
Three-dimensional representation of the human body enables us to recover the
general location and orientation of the human body parts, as well as three-
dimensional activity of the body. The determination of three-dimensional infor-
mation from two-dimensional digital images is a fundamental task. Traditional
monocular and stereo vision methods have been widely used in computing 3D
structure for a variety of applications, from robot navigation to visual inspection.
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