Previous studies have indicated a decline in the ability of older adults to detect impending collisions. In addition, previous research has demonstrated that collision detection performance of college-aged participants can be improved with perceptual learning. The present study examined whether perceptual learning can improve performance of older participants on a collision detection task (N=12...

Motion perception is theoretically understood as the detection of sequential optical changes at two locations in the visual array. Experiments on generalized apparent motion have demonstrated, however, that sequentiality is not necessarily required for the detection of motion [1] leading to instantaneous counter-change as an alternative theoretical view of motion detection [2]. Here we generali...

An original approach for real time detection of changes in motion is presented, for detecting and recognizing events. Current video change detection focuses on shot changes, based on appearance, not motion. Changes in motion are detected in pixels that are found to be active, and this motion is input to sequential change detection, which detects changes in real time. Statistical modeling of the...

An algorithm for speaker's lip motion detection is presented, based on the processing of a colour video sequence of speaker's face under natural lighting conditions and without any particular make-up. It is intended for applications in speech recognition, videoconferencing or speaker's face synthesis and animation. The algorithm is based on a statistical approach using Markov Random Field (MRF)...

Two systems for detecting the motion of a scene are described. For both, an image is projected directly onto an integrated circuit that contains photosensors and computing circuitry to extract the motion. The first system, which has been reported earlier, correlates the analog image with a digitized version of the image stored from the previous cycle. The chip reports the motion that correspond...

The motion of a walking person is analyzed by examining cycles in the movement. Cycles are detected using autocorrelation and Fourier transform techniques of the smoothed spatio-temporal curvature function of trajectories created by speciic points on the object as it performs cyclic motion. A large impulse in the Fourier magnitude plot indicates the frequency at which cycles are occurring. Both...