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Human Detection and Gesture Recognition Based on Ambient Intelligence

出版	INTECH Open Access Publisher, 2007
ISBN	39026130339783902613035
URL	http://books.google.com.hk/books?id=QbO-oAEACAAJ&hl=&source=gbs_api

註釋This chapter introduced the methods for human detection and gesture recognition based on ambient intelligence. The experimental results show the effectiveness of the methods for human detection and gesture recognition, but we should use various types of sensory information in addition to visual images. We proposed the concept of evolutionary robot vision. The main sensory information is vision, but we can integrate and synthesize various types of sensory information for image processing. Possible sensory information to improve the performance is distance. We developed a 3D modeling method based on CCD cameras and a laser range finder with a small and compact pan-tilt mechanism. We intend to develop a gesture recognition method based on various types of sensory information. Furthermore, network robots based on ambient intelligece are an attractive approach to realize sophisticated services in the next generation society. One of attractive approaches is the SICE City project. The aim of SICE city project is to build up the methodology and concept in the city design to realize sophisticated services for residents based on measurement technology, network technology, control technology, and systems theory. We will discuss the applicability of human detection, human recognition, gesture recognition, and motion recognition based on ambient intelligence to human-friendly functions in the city design.