Markerless Human Gait Analysis via Image Sequences
نویسندگان
چکیده
The studies of human body motion have been motivated by a large number of application domains: visual surveillance, clinical analysis, computer animation, athletic performance analysis, robotics, and biometrics. Moreover, human motion analysis has many challenging issues, because the highly flexible structure and self-occlusion of the human body mandates complicated processes for the segmentation and analysis of motion (Leung, 1995). The motion of the human body may be defined by the movement of various body parts, such as hand or limb segments. The human body consists of several rigid parts connected by the joints, but the motion of a full human-body is non-rigid and articulated (Aggarwal, 1998). Human gait (walking and running) is known to be one of the most universal and complex of all human activities. The human gait is a pattern of locomotion in which the body moves step by step in the desired direction, and it can be decomposed into periodic components within a gait cycle. Also, the human gait is usually described by kinetic or kinematic characteristics, and the pattern of rotation angles around the joints has been modelled as a pendulum (Murray, 1964; Taga, 1995), the motion of which is characterised by simple harmonic motion (Yam, 2002).
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تاریخ انتشار 2003