Paper
15 February 2006 Video surveillance using distance maps
Author Affiliations +
Proceedings Volume 6063, Real-Time Image Processing 2006; 606306 (2006) https://doi.org/10.1117/12.643708
Event: Electronic Imaging 2006, 2006, San Jose, California, United States
Abstract
Human vigilance is limited; hence, automatic motion and distance detection is one of the central issues in video surveillance. Hereby, many aspects are of importance, this paper specially addresses: efficiency, achieving real-time performance, accuracy, and robustness against various noise factors. To obtain fully controlled test environments, an artificial development center for robot navigation is introduced in which several parameters can be set (e.g., number of objects, trajectories and type and amount of noise). In the videos, for each following frame, movement of stationary objects is detected and pixels of moving objects are located from which moving objects are identified in a robust way. An Exact Euclidean Distance Map (E2DM) is utilized to determine accurately the distances between moving and stationary objects. Together with the determined distances between moving objects and the detected movement of stationary objects, this provides the input for detecting unwanted situations in the scene. Further, each intelligent object (e.g., a robot), is provided with its E2DM, allowing the object to plan its course of action. Timing results are specified for each program block of the processing chain for 20 different setups. So, the current paper presents extensive, experimentally controlled research on real-time, accurate, and robust motion detection for video surveillance, using E2DMs, which makes it a unique approach.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Theo E. Schouten, Harco C. Kuppens, and Egon L. van den Broek "Video surveillance using distance maps", Proc. SPIE 6063, Real-Time Image Processing 2006, 606306 (15 February 2006); https://doi.org/10.1117/12.643708
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CITATIONS
Cited by 5 scholarly publications.
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KEYWORDS
Video surveillance

Video

Image processing

Motion detection

Cameras

Visualization

Binary data

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