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In most existing video surveillance architectures for fleet management, a vehicle sends entire video stream back to the central server. This wastes bandwidth and cost. In this paper, we present a fleet management system that provides real time video surveillance function. Only when a surveillance service is initiated, an immediate peer-to-peer connection is built through the interactive connectivity...
Aeronautical Mobile Airport Communications System (AeroMACS) is a WiMAX-based cellular technology that enables the access of Subscriber Stations (SS) to support ATC, AOC and airport applications on the airport surface. SS can be fixed stations, aircraft or vehicle embedded radios, or handheld devices. The AeroMACS access service network is provided by a number of Base Stations (BS) that operate in...
The working of the GPS requires a clear line of sight for accurate services. However this is a drawback when the vehicle is stuck in a long tunnel or a place where the GPS data is unavailable. In this paper we propose the TLST: Time of Arrival Based Localization and Smart Tunnels in VANETs. The paper focuses on the time of arrival and time difference of arrival based localization in the vehicular...
To enhance the robustness of the vehicle detection system, an effective algorithm to identify the lighting conditions (daylight, night, lowlight (dawn, dusk)) based on histogram analysis is presented in this paper. The algorithm consists of two procedures: extracting and updating background image, and generating a lighting conditions classifier based on background image analysis. The algorithm is...
Traffic video surveillance is an important topic for security purposes and to improve the traffic flow management. Video surveillance can be used for different purposes such as counting of vehicles or to detect their speed and behaviors. In this context, it is often important to be able to analyze the video in real-time. The huge amount of data generated by the increasing number of cameras is an obstacle...
The goal of our project is to explore the already installed video surveillance cameras in the cities to provide an intelligent vision based approach for vacant parking lots detection and drivers' guidance. Our system should be able to treat huge number of parking stations in the town and to supply a real time information about the vacancies and their locations. The concept of distributed and extensible...
In order to remove the problem of the shadow of moving vehicles in video surveillance, this paper presents an algorithm based on projection features of the connected regions to eliminate the dynamic shadow. Firstly, the Frame Difference method is applied to image blocks to extract the background. Then, the moving vehicles are detected as the foreground in the current frame by background subtraction...
Detecting an abandoned object in crowded scenes of surveillance videos becomes more complex task due to occlusions, lighting changes, and other factors. In this paper, a new framework to detect abandoned object using dual background model subtraction is presented. In our system, the adaptive background model is generated based on statistical information of pixel intensity that robust against lighting...
Activities developed under hazardous conditions, such as mining, require an active investment from the industry to avoid serious injuries and even loss of lives. One of the safety measures taken to address this problem is to implement a video surveillance system able to track vehicles and workers to enforce safety protocols preventing dangerous events that could lead to accidents. In this paper, we...
Future digital avionics systems will work in complex and cluttered environments which require systems engineering solutions for such applications as airport ground surface management. In this paper, we highlight the use of a L1 video tracker for monitoring activities at an airport. We present methods of information fusion, entity detection, and activity analysis using airport videos for runway detection...
Nowadays, video surveillance systems are in urgent and increasing demand to ensure people, things and places' security. The necessity to control and/or alert in case of abnormal events taking place requires pulling out more useful information from video data. Accordingly, there is motivation to improve scalability and capacity of video surveillance systems. Scalability issues in literature are always...
With the dramatic growth of using video cameras for applications of public surveillances in recent years, detection of public threats or security issues on surveillances becomes possible nowadays. How to identify anomalous behavior from surveillance videos has been identified as an effective manner for detecting critical events in the public avenue. We in this paper discuss a new application paradigm...
Compared with the traditional video-based traffic surveillance, the highly-mounted video can surveil a larger range of traffic scene, and the vehicles in the video are rarely occluded. These characters of highly-mounted video-based traffic surveillance system make it more suitable for acquiring the traffic information of a larger traffic area. This paper present a framework of using highly-mounted...
Prospective IEEE 802.11p-enabled automotive video applications are identified. Preliminary experimental results of inter-vehicular live video streaming for surveillance applications are presented. A test-bed for the demonstration of the achievable visual quality under different channel conditions is described.
The recent deployment of very large-scale camera networks consisting of fixed/moving surveillance cameras and vehicle video recorders, has led to a novel field in object tracking problem. The major goal is to detect and track each vehicle within a large area, which can be applied to video forensics. For example, a suspected vehicle can be automatically identified for mining digital criminal evidences...
IEEE 802.11p/ITG-G5 vehicle-to-vehicle communication technology, which enables the new class of safety and infotainment applications, is currently an emerging research topic in both industry and academia. The proposed spectrum allocation of 10 Mhz channels for DSRC (Dedicated Short Range Communication) in 5.9 GHz band for the USA and Europe allows considering the transmission of video information...
We address the problem of learning robust and efficient multi-view object detectors for surveillance video indexing and retrieval. Our philosophy is that effective solutions for this problem can be obtained by learning detectors from huge amounts of training data. Along this research direction, we propose a novel approach that consists of strategically partitioning the training set and learning a...
This study presents a video-based car detection and tracking algorithm for traffic analysis system. By setting a detection window at the entry of a traffic lane, the algorithm applies a two-layer SVM classifier to detect car-passing events at the detection window. When car-passing event occurs, Harris corners are detected at the detection window and then tracked by optical flow. These tracked corners...
This paper presents a video-based approach to traffic analysis and monitoring in night light conditions. In this kind of scenarios the headlights of the vehicles are the main features of the image taken from an urban or inter-urban traffic camera. The body of the vehicles is very low contrasted and many of the algorithms used in day-time decrease their performance. In our algorithm, we detect car...
In this paper, we present a new method to automatically discover recurrent activities occurring in a video scene, and to identify the temporal relations between these activities, e.g. to discover the different flows of cars at a road intersection, and to identify the traffic light sequence that governs these flows. The proposed method is based on particle-based trajectories, analyzed through a cascade...
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