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.
In recent era surveillance systems play a vital role in our daily life. The goal of surveillance systems is to collect the desired information about concerned targets in the sensing environment. Traditional surveillance systems are limited by a predefined monitoring pattern. It can render a reduced system reliability. Moreover, the system is always functional regardless of the target presence. It...
Face recognition under surveillance circumstances still poses a significant problem due to low data quality. Nevertheless, automatic analysis is highly desired for criminal investigations due to the growing amount of security cameras worldwide. We suggest a face recognition system addressing the typical issues such as motion blur, noise or compression artifacts to improve low-quality recognition rates...
Video summarization is the process to extract informative events of a video and represent in the condensed form. The paper proposes a new method for extracting important contents of a video for summarization using geometric primitives, such as line segments, angles, and conic parts. The primitives have the capabilities to represent complex shapes and structures of objects in a video frame. Therefore,...
Interest about security and asset safety escalates due to the increasing crimes in this century. However, almost all existing surveillance systems have limited self-learning ability that only allow real time monitoring and are unable to identify the actual events that take place in the monitored ambient. As such, this research aims to implement a smart surveillance system with embedded Complex Event...
In recent years, there has been an increasing interest in the adoption of drones for monitoring a variety of infrastructures. Infrastructure monitoring systems are widely adopted to detect faults before they can lead to severe failures. They can be found in a number of civil structures, including bridges and viaducts, and also in many other applications of smart-maintenance, prognostics, health and...
Many parking garages and open parking spaces today are already equipped with surveillance cameras to increase the security of pedestrians or to record potentially illegal actions. An additional use case for such multi-camera surveillance systems is the automatic extraction of 3D-positions of objects and pedestrians. The safety of autonomous vehicles could benefit from this information in cases where...
Human detection is an essential task in so many applications, especially surveillance systems. Recently, ConvNets (Convolutional Neural Networks)-based YOLO model is a successful method applied for object (including human) detection. It is one of the fastest way to detect directly objects from the input image. However, compared to the ConvNets-based state-of-the-art object detection methods, YOLO...
Communicating radius of automatic light trap surveillance network characterizes how well an area is monitored or tracked by automatic light traps. Connectivity is an important required that shows how nodes in an automatic BPH light trap surveillance network can eectively communicate. In this paper, we propose a new approach to determine the communication radius of an automatic light trap based on...
Traditional video synopsis methods model the processing into an optimization formula where relations among objects such as collision cost are utilized while entire re-calculation is introduced under each possible temporal shift. Unlike the pairwise cost optimization, we propose a low-complexity and efficient online synopsis method where each tube is processed independently. Without tubes' comparison,...
Master-slave camera systems are ideal for detailed surveillance of desired targets in wide scenes. In this paper, we propose a fully automatic camera system that is structurally unconstrained and independent from both intrinsic and extrinsic camera parameters for detecting activities in indoor or outdoor environments. Unlike traditional models in our system, two wide cameras are used to reach the...
In this study, the implementation of monitoring system is made, aimed for home surveillance. The sensor of the system is camera. The camera will capture image of the room and will evaluate whether an intruder is detected or not, by subtracting the image with the background frame. When the intruder is detected, the system will automatically activate the alarm to alert the home occupant. In the same...
Lightning is a serious natural calamity all over the world, kills people and wild species, damages human shelters, induces huge forest fire and crashes outdoor camera. Mainly in hilly regions, the purpose of the lightning arrestor fails, seeking vision based solution to detect the lightning in such areas. This paper addresses the detection of lightning in captured videos as natural abruption detection...
Vehicle classification is an important subject of study due to its significance in a number of areas including law enforcement, traffic surveillance, autonomous navigation, and transportation management. While numerous approaches have been proposed, few studies have been published with regard to the multi-view classification of vehicles captured in real surveillance. In this paper, we consider the...
In this paper, we propose an indoor action detection system which can automatically keep the log of users' activities of daily life since each activity generally consists of a number of actions. The hardware setting here adopts top-view depth cameras which makes our system less privacy sensitive and less annoying to the users, too. We regard the series of images of an action as a set of key-poses...
The concept of a Smart City is becoming an increasingly important research area around the world. The amount of information collected and the number of stationary sensors, surveillance cameras and other devices that need to be places in a smart city is so vast that using a mobile platform to replace them can reduce the cost in both energy and resources. This paper proposes an open source intelligent...
In recent years, an intelligent surveillance system is widely developed along with the rapid use of closed circuit television (CCTV) camera in the public area. The system should be able to process multiple source data from different CCTV networks simultaneously and automatically detect any suspicious event on the monitoring area. A low-cost computational time is required to make a fast-enough system...
Surveillance cameras are used in public and private security systems. Typical systems may contain a large number of different cameras, which are installed in different locations. Manual calibration of each single camera in the network becomes an exhausting task. Although we can find methods that semi-automatically calibrate a static camera, to the best of our knowledge, there is not a fully automatic...
This paper presents analysis and preliminary results from live video imaging tests in the millimeter/submillimeter (THz) range performed in different lighting conditions, through various obscurants over selected distances. The tests were performed using a compact THz camera based on an uncooled 384 × 288 microbolometer pixel focal plane array. A description of the camera that is sensitive over a large...
Advancing state of the art in face recognition and bridging the gap between laboratory and real-world scenarios require the availability of challenging databases. One of the challenging applications of face recognition is surveillance, where unconstrained video data is captured both in day and night time (visible and near infrared spectrum). These videos have multiple subjects in each frame, which...
Advanced surface surveillance capabilities have been shown to dramatically improve surface safety and aid in situation awareness, but these capabilities cannot be economically justified for small and medium airports. The MITRE Corporation has developed a concept for Low Cost Surface Awareness, built upon the use of commercial-off-the-shelf infrared cameras, computer vision processing, and georeferencing...
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.