This paper discusses the financial benefit of intrusion detection systems (IDS) deployment techniques and addresses the problems of bridging the gap between technical security solutions and the business need for it. This is an area of interest to both the research and the business community; most IDSes balance host and network monitoring, but the decision about how to adjust usage of each techn...

Background subtraction is a method commonly used to segment objects of interest in image sequences. By comparing new frames to a background model, regions of interest can be found. To cope with highly dynamic and complex environments, a mixture of several models has been proposed in the literature. We propose a novel background subtraction technique based on the popular Mixture of Gaussian Mode...

A new method for real-time face localization from a streaming color video was developed. The method consisted of three stages. First, the face-like skin-colored image region was segmented from the background and transformed into the grey scale representation. Second, the cropped image was convolved with Sobel operator in order to extract local oriented edges at 16 orientations. The extracted lo...

Collimation is widely used for X-ray examinations to reduce the overall radiation exposure to the patient and improve the contrast resolution in the region of interest (ROI), that has been exposed directly to X-rays. It is desirable to detect the region of interest and exclude the unexposed area to optimize the image display. Although we only focus on the X-ray images generated with a rectangul...

This paper presents a real-time method for detecting pedestrians using vertical motion form two consecutives frames. We used association approach to match edge curves between consecutive images. Significant motions can be found using horizontal-vertical projection histogram. Then the pedestrian detection process is achieved in two steps. The first one searches the region of interest by using th...

Many human{machine interfaces based on face gestures are strongly user-dependent. We want to overcome this limitation by using common facial features like eyes, nose and mouth for gaze recognition. In a rst step an adaptive color histogram segmentation method roughly determines the region of interest including the user's face. Within this region we then use a hierarchical recognition approach t...

Nowadays pedestrian detection plays an important role in security and driving assistance. Detecting moving object is complex, and some of the detection methods are comparatively ineffective and slow. In relation to human detection it is very useful to combine independent information sources, such as appearance and motion. To achieve acceptable detection performance, we propose inter-frames diff...

We present a new modular traffic signs recognition system, successfully applied to both American and European speed limit signs. Our sign detection step is based only on shape-detection (rectangles or circles). This enables it to work on grayscale images, contrary to most European competitors, which eases robustness to illumination conditions (notably night operation). Speed sign candidates are...

We study the problem of compression of videosurveillance sequences collected by a wireless sensor network. In particular, we propose a low-complexity coding framework based on change detection and JPEG-like compression of regions of interest, along with a suitable low-complexity change detection algorithm. We show that on typical videosurveillance sequences the performance of the proposed compr...

In this paper we present a real time pedestrian detection system that works on low quality infrared videos. We introduce an efficient and effective idea of probabilistic templates to capture the variations in human shape specially for the case where the contrast is low and body parts are missing. The infrared videos provide the regions of interest, which considerably reduces the search space an...