The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Image stitching has been extensively studied over the last decade, particularly since the introduction of scale invariant feature transform and bundle adjustment techniques. This paper investigates three major challenges that need to be solved for aerial video stitching: significant motion blur in some frames, the scale factor in the stitched images and the constant change of the camera projection...
Everyday events demonstrate (if there is still a need for demo) the need for security. One cause is the occurrence of antisocial events which seem to be once again on the rise. Another cause (increasingly important) is represented by terrorist threats. As events in New York, London and Madrid have demonstrated, this threat is very much alive. Video surveillance is an alternative attempting to prevent...
We demonstrate a video surveillance system— comprising passive and active pan/tilt/zoom (PTZ) cameras—that intelligently responds to scene complexity, automatically capturing higher resolution video when there are fewer people in the scene and capturing lower resolution video as the number of pedestrians present in the scene increases. To this end, we have developed behavior based-controllers for...
Motion detection and tracking is an important vision topic for many applications such as video surveillance. When this process takes place during video encoding and transmission, Regions-of-Interest (RoIs) turn to be a very useful tool in order to favor the encoding of such regions compared to the fixed background. In this paper, we show that, in conjunction with effective spatio-temporal filters,...
Many binocular active tracking systems can track the target by vergence. However, the small vergence angle affects the vergence tracking in wide area. Furthermore, the scale variant problem will also disable the vergence tracking. To get a wide area security, we suggest installing a zoom control method to keep the target in the centre of the image instead of relying on vergence. We propose an active...
The proposed technique addresses a fusion method of two imaging sensors on pixel-level. The fused image will provide a scene representation which is robust against illumination changes and different weather conditions. Thus, the combination of the advantages of each camera will extend the capabilities for many computer vision applications, such as video surveillance and automatic object recognition...
Face recognition at a distance is concerned with the automatic recognition of non-cooperative subjects over a wide area. This remote biométrie collection and identification problem can be addressed with an active vision system where people are detected and tracked with wide-field-of-view cameras and near-field-of-view pan-tilt-zoom cameras are automatically controlled to collect high-resolution facial...
Infrared visual surveillance has become an important mean to secure military camps, reassure soldier security, and detect suspected terror activities in the battle fields. An intelligent infrared surveillance system is aimed to provide real-time intelligent analysis of the perceived scene and find out human targets instantly to assist the soldier/commanders to make the right decision in a just-in-time...
In modern video surveillance systems, pan-tilt-zoom (PTZ) cameras certainly have the potential to allow the coverage of wide areas with a much smaller number of sensors, compared to the common approach of fixed camera networks. This paper describes a general framework that aims at exploiting the capabilities of modern PTZ cameras in order to acquire high resolution images of body parts, such as the...
Focusing on the problem that the detection accuracy of traffic detection system is sensitive to the changes of complex environments, this paper presents an improved method of vehicle detection. It builds and updates the background adaptively. Additionally, to improve the computation efficiency of shadow elimination, a fast algorithm of neighbor mean based on HSV model is proposed. As the occlusion...
The omni-directional cameras providing 360 degrees field of view (FOV) are widely used in video surveillance and robot vision applications. However, the omni-directional cameras have an obvious drawback; that is, only low-resolution images captured. Therefore, the objects are not able to be correctly identified if they are far from the omni-directional cameras. To overcome this problem, we propose...
In this paper, we describe a system for smart surveillance using stereo images with applications to advanced video surveillance systems. The system utilizes two smart IP cameras to obtain the position and location of objects. In this case, the object target is human face. The position and location of the object are automatically extracted from two IP cameras and subsequently transmitted to an ACTi...
Video-equipped mini unmanned aerial vehicles (mini-UAVs) are becoming increasingly popular for surveillance, remote sensing, law enforcement, and search and rescue operations, all of which rely on thorough coverage of a target observation area. However, coverage is not simply a matter of seeing the area (visibility) but of seeing it well enough to allow detection of targets of interest, a quality...
Vision-based surveillance technologies are widely used for security and safety. Successful research of multicamera systems has been conducted in recent years. In this article, we propose a chameleon-like vision system based on two pan-tilt-zoom (PTZ) cameras. Compared with conventional binocular vision systems, the advantages of the proposed system lie in its ability to obtain multiresolution, multiview...
In this paper, we propose a facial direction estimating system from low resolution facial images captured by surveillance camera. The proposed system first detects moving objects by background subtraction, then detects pedestrians by using histograms of oriented gradients (HOG) and support vector machine (SVM). After that, it trims head area by template matching and finally estimates facial direction...
This paper shows that most surveillance cameras fall well short of providing sufficient image quality, in both spatial resolution and colour reproduction, for the reliable identification of faces. In addition, the low resolution of surveillance images means that when compression is applied the MPEG/JPEG DCT block size can be such that the spatial frequencies most important for face recognition are...
The increased flexibility and other benefits offered by IP network cameras makes them a common choice for installation in new and expanded surveillance networks. One commonly quoted limitation of IP cameras is their high latency when compared to their analogue counterparts. This causes some reluctance to install or upgrade to digital cameras, and is slowing the adoption of live, intelligent analysis...
Presently researches in networked surveillance system grow continuously and substantially. One reason is because of the insecurity incidents such as terrorism acts in Thailand and many countries around the world. This results in the need of intelligent surveillance and monitoring system consisting of real-time image capture, transmission, processing, and surveillance information understanding. This...
Images rendered by remote sensing multi-camera platforms typically contain jitter caused by decoding timing delays, target movement, and platform motion. In this paper, we address the problem of stabilizing large-frame, low-frame rate imagery acquired from a multi-camera array system for persistent surveillance and monitoring. The algorithm utilizes temporal coherence properties between the cameras,...
Applications such as surveillance and human motion capture require high-bandwidth recording from multiple cameras. Furthermore, the recent increase in research on sensor fusion has raised the demand on synchronization accuracy between video, audio and other sensor modalities. Previously, capturing synchronized, high resolution video from multiple cameras required complex, inflexible and expensive...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.