|
Intelligent surveillance systems (ISS) have gained a significant attention in recent years due to the nationwide
security concerns. Some of the important applications of ISS include: homeland security, border
monitoring, battlefield intelligence, and sensitive facility monitoring. The essential requirements of an ISS
include: (1) multi-modality multi-sensor data and information fusion, (2) communication networking, (3)
distributed data/information processing,(4) Automatic target recognition and tracking, (5) Scenario profiling
from discrete correlated/uncorrelated events, (6) Context-based situation reasoning, and (7) Collaborative
resource sharing and decision support systems. In this paper we have addressed the problem of humanposture
classification in crowded urban terrain environments. Certain range of human postures can be
attributed to different suspicious acts of intruders in a constrained environment. By proper time analysis of
human trespassers' postures in an environment, it would be possible to identify and differentiate malicious
intention of the trespassers from other normal human behaviors. Specifically in this paper, we have proposed
an image processing-based approach for characterization of five different human postures including:
standing, bending, crawling, carrying a heavy object, and holding a long object. Two approaches were
introduced to address the problem: template-matching and Hamming Adaptive Neural Network (HANN)
classifiers. The former approach performs human posture characterization via binary-profile projection and
applies a correlation-based method for classification of human postures. The latter approach is based a
HANN technique. For training of the neural, the posture-patterns are initially compressed, thresholded, and
serialized. The binary posture-pattern arrays were then used for training of the HANN. The comparative
performance evaluation of both approaches the same set of training and testing examples were used to
measure their effectiveness in classifying of five classes of human posture patterns. This paper presents and
discusses the results of this experimental work. Both approaches demonstrated very promising results.
|
