A robust motion detection and estimation filter for video signals

12 years 1 months ago
A robust motion detection and estimation filter for video signals
The problem of detecting areas of motion in video sequences and estimating parameters such as speed, direction and dynamics is addressed in many applications of image processing such as video surveillance, object tracking, image stream compression or autonomous navigation systems. Real world computer vision highly depends on reliable, robust systems for recognition of motion cues to make accurate high-level decisions about its surroundings. In this paper, we present a simple, yet high performance low-level filter for motion detection and estimation in digitized video signals. The algorithm is based on constant characteristics of a common, 2frame interlaced video signal, yet its applicability to generically acquired image sequences will be shown as well. In general, our approach presents a computationally low-cost solution to motion estimation application and compares very well to existing approaches due to its robustness towards environmental changes. A simple application of motion pa...
Markus Latzel, John K. Tsotsos
Added 25 Oct 2009
Updated 27 Oct 2009
Type Conference
Year 2001
Where ICIP
Authors Markus Latzel, John K. Tsotsos
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