Abstract
Perception of vision and motion is a vast interdisciplinary field combining psychology, neurology, physiology, mathematics, computer science, physics, philosophy and more. The issue of the actual mechanism for the visual and computational perception of motion in the human are keep grow for the last decade. Each of the reseacrhers are keep pursuit to find the ideal potion of a robust recognition and detection for video system. Thus, an Automated Video Surveillance system or “ANGSA” is presented in this paper. The “ANGSA” system aims at tracking an object in motion and classifying it as a human or non-human entity, which would help in subsequent human activity analysis. The system employs a simple method and a Human Detection for Surveillance (HDS) System. The HDS system incorporates a color based human detector which is well known for its performance in detecting humans in still images. Detailed analysis is carried out on the performance of the system on various test videos.
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© 2012 Springer-Verlag Berlin Heidelberg
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Junoh, A.K., Mansor, N., Yaacob, S. (2012). “SWAN” – Human Detecting Process in Image Processing for Home Security System. In: Zeng, D. (eds) Advances in Information Technology and Industry Applications. Lecture Notes in Electrical Engineering, vol 136. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-26001-8_30
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DOI: https://doi.org/10.1007/978-3-642-26001-8_30
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