The human brain is adept at recognizing humans and animals in motion. The visual system effortlessly carries out many different tasks based on what we see. However, motion detection, particularly that of other animals and conspecifics, is one of the most important visual tasks the brain had to be good at from the perspective of evolution. Getting away from predators, hunting preys, and effective social interaction - all of these play crucial roles for survival of a species. The brain has therefore evolved to be extremely good at detecting these types of motions. However, little is known about the computational steps, or the neural mechanisms, that make this possible. In particular, it is unclear whether the mechanism is any different from other general purpose recognition tasks, or if there are specialized computational abstractions in use. In this book, analysis of human motion data and psychophysical experiments are used in an attempt to say something about what the brain might be doing while it executes the biological motion recognition task. It is further shown that knowledge gained through these experiments can also be used as a gait recognition tool in computer vision.
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Sandhitsu Das graduated from the Indian Institute of Technology, Kanpur before obtaining his Ph.D. in Bioengineering in 2006 from the University of Pennsylvania where he studied the human visual system. Since then he has been in the department of Radiology at Penn pursuing research in neuroimaging.
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