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The area of artificial vision and robotics has very important advances in the recognition and tracking of objects, not only in indoor scenes but also in outdoor ones. These methods and algorithms have given rise to very important technological advances in different areas of knowledge. In the area of Precision Agriculture, the main problem of its use lies in its application in field surveys, whereas...
The compilation of high quality traffic data is one of the basic concerns for real time traffic video surveillance. Since Video surveillance has figurative applications such as security, traffic monitoring and law enforcement. Detecting and recognizing the vehicle objects in a video is an imperative part of video surveillance systems, which is going to guide in tracking of the detected objects and...
In automated video surveillance applications, detection of suspicious human behaviour is of great practical importance. However due to random nature of human movements, reliable classification of suspicious human movements can be very difficult. Defining an approach to the problem of automatically tracking people and detecting unusual or suspicious movements in Closed Circuit TV (CCTV) videos is our...
One of the main application of Synthetic Aperture Radar (SAR) data is developing the monitoring system for various applications like land cover and land use dynamics, vegetation mapping, canopy characterization and natural hazards by discriminating the change areas between two different dates images. In this paper, KLT (Kanade-Lucas-Tomasi) tracker has been applied on two different dated (i.e. April,...
Modern video surveillance systems need to acquire clear video images of the interest targets in wide range scene, which usually have some difficulties only by changing the cameras focal length when the targets distance and constantly move. In order to obtain details of the features of long distance moving targets in wide range of monitoring scene, we use a panoramic camera and Intelligent Speed Dome...
The Kinect sensor is an attachment for the Xbox gaming console which allows players to interact with games through body movement. This paper explores the possibility of using the Kinect in a clinical setting for detection of Parkinson's, postural, flapping, titubation and voice tremors. All of the physical tremors were simulated and the ability of the Kinect to capture them was evaluated. The Kinect...
The present study covers a new experimental system, designed to improve the balance and postural control of adults with cerebral palsy. This system is based on a serious game for balance rehabilitation therapy, designed using the prototype development paradigm and features for rehabilitation with serious games: feedback, adaptability, motivational elements, and monitoring. In addition, the employed...
This paper presents a concept for fast prototyping of real-time hardware/software video processing systems for urban surveillance monitoring equipment. The evaluation module with the TMS320DM6437 signal processor linked with the Code Composer Studio through Matlab/Simulink has been used. The processed video signals have been acquired using BOSCH NBC-255-P network camera with the CMOS ¼″ sensor. We...
Augmented Reality (AR) combines real world and virtual objects which can be 3D images previously saved or real time computer generated. It enhances a user's view of the real environment by adding virtual objects in a realistic manner. Virtual objects display information that the user cannot directly detect with his senses. So, to look realistic, the virtual objects must be properly aligned with real-world...
This paper presents several methods for application in CCTV systems in order to support operators' duties. These methods are based on video processing only. In result, the attention of the operator can be attracted using an alarm signal. Additional information about objects can be delivered or the automatic control of PTZ cameras applied. Among the considered methods are: people detection, silhouette...
This paper presents a user recognition system, using face, height, and clothes color features under the special assumption that is a user is monitored and tracked. In real human-robot interaction situation, all information cannot be provided at the same time and some parts of frames in a video have no clues at all. In the proposed system, tracking is an important feature to recognize a user because...
In this paper a depth map generation and the red color component hole filling approach to the 3D effects in monitoring systems is presented. The binary depth map generation is described based on the object recognition and tracking. The red color component mirror and filtering is used in the proposed hole (occlusion) filling method.
A method to implement virtual mouse through machine vision are proposed. Firstly we present an efficient algorithm based on color to track the movement of fingertips in real time, then we present a set of messages (including elementary fingertip message and simulated mouse message) that are generated according to the result of fingertip tracking, These messages can be used to control the window based...
As urban road intersections are prone to traffic congestion and traffic accidents, monitoring the crossing of vehicles and predicting the state is needed to reduce traffic congestion, regulate driver behavior and prevent accidents. Background subtraction and mean shift tracking are used to track vehicles. The whole monitoring process is as following. Firstly, secondary selected strategy is used to...
Artificial vision provides a remarkable good sensor when developing applications for intelligent spaces. Cameras are passive sensors that supply a great amount of information and are quite cheap. This paper presents an application for elderly care that detects falls or faints and automatically triggers the health alarm. It promotes the independent lifestyle of elder people at their homes as the monitoring...
Forewarning to avoid potential traffic accidents is of great importance for Intelligent Transportation Systems (ITS). Under pedestrian and vehicle mixed traffic conditions like urban road intersections, traffic monitoring and forewarning have especially important values. Therefore in this paper a novel urban traffic information analysis and forewarning system is presented. Our system contains modules...
Current state of the art biometric tracking systems for Prisons and correctional facilities rely on entry points to know who is where. It is envisaged that next generation systems will be required to tag and track at the individual level. Previously the authors have presented a roadmap for such a cyber-physical system. This paper aims to provide a potential interface design to facilitate management...
Behavior determination and multiple object tracking for video surveillance are two of the most active fields of machine vision. We describe our system, which we are developing for applications in tele-assistance for the elderly, as an early warning monitor for anomalous events. Our system is based upon the computer vision library OpenCV. In this article we describe the algorithms we have developed...
We propose an adaptive tracking system for assisted living that integrates user information about emergency events. Information fusion between user data and visual data is performed in order to estimate and assess the situation at hand. The system is able to dynamically switch between different segmentation and tracking algorithms improving its performance, as shown by the proposed examples.
Artificial vision provides a remarkable good sensor when developing applications for intelligent spaces. Cameras are passive sensors that supply a great amount of information and are quite cheap. This paper presents an application for elderly care that detects falls or faints and automatically triggers the health alarm. It promotes the independent lifestyle of elder people at their homes as the monitoring...
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