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.
With the automatically detecting and identifying ability, RFID has been widely used in object monitoring. However, due to the limited functionality of a single sensor, the RFID-based surveillance system doesn't do well in forensics and future tracking. To realize both real-time monitoring and automatically evidences extracting, a RFID and vision based object surveillance system is presented in this...
This paper discusses a technique to separate two superimposed images where there is a geometric relationship between the two images. This technique would allow a single camera to capture two images simultaneously with differing fields of view. One image is a wide field-of-view (wFoV) image, and the other is a narrow field-of-view (nFoV) image corresponding to the center of the wFoV image. This is...
In today's world, there is a growing need for surveillance in order to maintain the decorum at a place and ensure the safety and security of its people. An aerial surveillance system will be worthwhile in this regard. This paper describes how an aerial surveillance system can be built using an unmanned aerial vehicle or a drone. We start by delineating the features of our aerial surveillance system...
Unmanned systems can watch the area that people cannot monitor directly. Thus they are used widely, and largely divided into a UGV and UAV depending on the domain they move. Because each system has advantages and disadvantages, for complementary utilizing we designed the hardware interface and software architecture of a UGV-UAV collaborative system based on the surveillance mechanism. In addition,...
In this paper, we propose an approach for automatic detection of bike-riders without helmet using surveillance videos in real time. The proposed approach first detects bike riders from surveillance video using background subtraction and object segmentation. Then it determines whether bike-rider is using a helmet or not using visual features and binary classifier. Also, we present a consolidation approach...
This era of internet of things (IOT) and ubiquitous computing technology demands that their potential be leveraged in all areas of human life. Towards this effort this paper proposes a novel architecture for intelligent transport system (ITS) for surveillance based on 6LoWPAN technology which also combines ubiquitous computing technology. The novelty of the proposed architecture lies in integrating...
This paper addresses design and implementation of a multi-channels intelligent surveillance system (ISS). The system is developed for handling multiple source data from four different camera networks. It processes the incoming frames simultaneously using a multi-threading strategy and automatically detect any suspicious event on the monitoring area. Different with the existing commercial systems,...
Vehicle, as a significant object class in urban surveillance, attracts massive focuses in computer vision field, such as detection, tracking, and classification. Among them, vehicle re-identification (Re-Id) is an important yet frontier topic, which not only faces the challenges of enormous intra-class and subtle inter-class differences of vehicles in multicameras, but also suffers from the complicated...
Object tracking is a key step of video analysis, while a motion model is crucial for object tracking. Concerning videos captured with fixed cameras, a sequence of a target's motion data may suggest the target's kinematic model with respect to the imaging system. In this paper we model the target's kinematic model by learning a long short-term memory network. This kinematic model can serve as a discriminative...
A vision-based and straightforward parking space surveillance system is presented. In particular, the novelty of the approach lies in the use of self-driven and direct dissimilarity computing mechanisms based on image raw brightness. Notably, the parking occupancy is estimated in real-time by applying fast computed estimators that optimize a global dissimilarity measure over slot-centered parking...
To enable an effective traffic management and signal control, it is important to know the road traffic density. In recent years, video surveillance based systems and monitoring tools have been widely used for obtaining road traffic density for traffic management. To address the needs of autonomous traffic data extraction and video analysis, a vast body of research exists. However, these schemes are...
Image stitching using small-scale unmanned aerial vehicles (UAVs) is investigated in this paper. A novel approach is presented to take advantage of the UAVs' position information to facilitate a full view of multiple images' stitching. Our ultimate goal is to generate an overview image as soon as possible and, at the meanwhile to achieve the most efficient usage of UAVs' resources. A feedback scheme...
Leaf occlusion is a challenging issue in surveillance video particularly in public outdoor places. The objective of leaf occlusion detection is to automatically determine whether the video suffers from leaf occlusion or not. To tackle this challenge, this paper proposes a learning-based leaf occlusion detection approach, which incorporates a new feature map into a deep learning network. The proposed...
Nowadays, the rapid increase in the number of the automobiles on the highway and urban roads have created many challenges regarding the proper management and control of the traffic. Detection and tracking of vehicles using the traffic surveillance system gives more promising way to manage and control the road traffic. Vehicle surveillance represents a challenging task of moving object segmentation...
This paper explains the way of unification of flame and smoke detection algorithms by merging the common steps into a single processing flow. Scenario, discussed in the current manuscript, considers using fixed surveillance cameras that allows using background subtraction to detect changes in a scene. Due to imperfection of background subtraction, foreground pixels, belonging to the same real object,...
Biometric recognition in totally wild conditions, such as the observed in visual surveillance scenarios has not been achieved yet. The ICB-RW competition was promoted to support this endeavor, being the first biometric challenge carried out in data that realistically result from surveillance scenarios. The competition relied on an innovative master-slave surveillance system for the acquisition of...
In this study, we design a dual cooperative camera system to maintain the both requirements of a visual surveillance system of tracking and close-up viewing functions in real time. In most of the object tracking or detecting systems, the details or close-up views of the objects are easily neglected for surveilling the environment to keep the camera in wide field view. Besides, some of the systems...
With the surveillance camera become more and more popular, people need to observe a large number of monitor at one time. In this paper, we propose a vision based indoor positioning for intelligent buildings to solve this problem. We capture a frame and make the Gaussian mixture learning for video background model. Then we do the background subtraction and get the foreground object. After we have the...
The work on the production line in Industrial. Accidents at work must be vigilant at all times. Because of safety while the work is important. Helps to reduce accidents at work. This paper proposed the program of Surveillance Human Behavior on Working in Industrial on image processing the blink of eye. If the employee over 4 seconds, the system will alert by sounds. It showed that the program accuracy...
In the recent years, object detection and tracking has become an integral part of various applications such as Surveillance system, Vehicle navigation, and autonomous robot navigation. Especially in the field of surveillance system it has gained greater significance than ever before due to the recent terror activities taking place all over the world. Many efforts have been made to make the system...
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.