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This paper presents a novel method for interest region description. We adopted the idea that the appearance of an interest region can be well characterized by the distribution of its local features. The most well-known descriptor built on this idea is the SIFT descriptor that uses gradient as the local feature. Thus far, existing texture features are not(More)
This paper presents a novel and efficient texture-based method for modeling the background and detecting moving objects from a video sequence. Each pixel is modeled as a group of adaptive local binary pattern histograms that are calculated over a circular region around the pixel. The approach provides us with many advantages compared to the(More)
Local feature detection and description have gained a lot of interest in recent years since photometric descriptors computed for interest regions have proven to be very successful in many applications. In this paper, we propose a novel interest region descriptor which combines the strengths of the well-known SIFT descriptor and the LBP texture operator. It(More)
The detection of moving objects from video frames plays an important and often very critical role in different kinds of machine vision applications including human detection and tracking, traffic monitoring, human-machine interfaces and military applications, since it usually is one of the first phases in a system architecture. A common way to detect moving(More)
In this paper, we introduce an approach to access control based on detecting and recognizing faces with novel methods. The goal is to build an automatic face recognition system which authorizes the access to the laboratory room for only certain persons while denying the access for the others. For this purpose, a camera is set in the door looking at the(More)
Distributed smart cameras and sensors have been an active area of research in recent years. Most of the research has focused on either the machine vision algorithms or on a specific implementation. There has been less activity on building generic frameworks which allow different algorithms, sensors and distribution methods to be used. This paper presents an(More)
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