A background subtraction algorithm, based on center-surround saliency, is proposed. Background subtraction is formulated as the complement of saliency detection, by classifying non-salient (with respect to appearance and motion dynamics) points in the visual field as background. The algorithm is inspired by biological mechanisms of motion-based perceptual grouping, and extends a discriminant fo...

BACKGROUND AND PURPOSE This study was undertaken to assess the utility of contrast-enhanced MR angiography at 6 months after endovascular treatment of intracranial aneurysms with Guglielmi detachable coils. METHODS Contrast-enhanced MR angiography was performed in 47 patients at 6 and 12 months after endovascular treatment of intracranial aneurysms (48 aneurysms). Digital subtraction angiogra...

Now a day, Moving Object detection is becoming very popular, yet challenging vision task. It is a critical part in many applications such as image search, image auto-annotation and scene understanding. . The vision systems that include image processing methods are widely implemented in many areas as traffic control, video surveillance of unattended outdoor environments, video surveillance of ob...

Generally human vision system searches for salient regions and movements in video scenes to lessen the search space and effort. Using visual saliency map for modelling gives important information for understanding in many applications. In this paper we present a simple method with low computation load using visual saliency map for background subtraction in video stream. The proposed technique i...

The fundamental step of moving object in any image is visualize in different vision-systems including automated visual surveillance and conventional systems. Mostly in India, traffic system related to small geographic areas are more complex to handle. So our objective is to control the congestions and monitor the traffic activities by detecting the vehicle by using vision-based holistic registr...

Pedestrian and cyclist crossing characteristics are important for the design of urban intersections and signalized crossings. Parameters, such as waiting time, crossing time, and arrival rate are key variables for describing pedestrian characteristics and improving crossing design and signal timing plan. Manually collecting such data is often extremely labor intensive. Therefore, we introduce a...

BACKGROUND AND PURPOSE Dome-to-neck ratio of intracranial aneurysms is an important predictor of outcomes of endovascular coiling. 3D imaging techniques are increasingly used in evaluating the dome-to-neck ratio of aneurysms for intervention. The purpose of this study was to determine whether 3D rotational angiography (3DRA) can be used to determine accurately the dome-to-neck ratio of intracra...

Analysis of Subtraction Methods in 3D Contrast-Enhanced MR Digital Subtraction Angiography Yuexi Huang Master of Science 2001 Department of Medical Biophysics University of Toronto 3D Contrast-enhanced MR angiography is promising as a replacement to catheter-based x-ray angiography due to its non-invasive nature. However, the image quality of MR angiography is still inferior to that of x-ray an...

This paper introduces a hybrid approach that is based on color information that utilizes a mask and K-Means clustering algorithm along with the frame averaging background subtraction technique. This hybrid approach efficiently removes artifacts caused by lightening changes such as highlight and reflection from segmentation, while also successfully removing shadows of stationary objects and dark...

In automatic video monitoring, real-time detection and in particular shadow elimination are critical to the correct moving objects segmentation since they severely affect the surveillance process. In this study, we propose a fast and flexible approach of movement detection based on an adaptive background subtraction technique with an effective model of shadow elimination based on color constanc...