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 processing is a method of extracting some useful information by converting image into digital inform by performing some operations on it. Object detection and tracking are the task that is important and challenging such as video surveillance and vehicle navigation. Video surveillance is a technology which works in dynamic environment in various events such as sports, public safety, and management...
Object detection in a video is a challenging task in the field of image processing. Some applications of the domain are Human Machine Interaction (HMI), Security and Surveillance, Supplemented Authenticity, Traffic Monitoring on Roads, Medicinal Imaging etc. There happens to be a number of methods available for object detection. Each of the method has some constraints on the kind of application it...
Automated video analysis in fishery has drawn increasing attention since it is more scalable and deployable in conducting survey, such as fish catch tracking and size measurement, than traditional human observers. However, there are challenges from the wild sea environment, such as the rapid motion of the tide and the white water foam on the surface, which can create large noise in video data. In...
Examining locomotion has improved our basic understanding of motor control and aided in treating motor impairment. Mice are a premier model of human disease and increasingly the model system of choice for basic neuroscience. High frame rates (higher than 150 Hz) are needed to quantify the kinematics of running mice, due to their high stride frequency (up to 10 Hz). Thus manual tracking, especially...
We present a robust real-time vision-based system for vehicle tracking and categorization, developed for traffic flow surveillance. We propose a robust segmentation algorithm that detects foreground pixels corresponding to moving vehicles. Experimental results based on four large datasets show that our method can count and classify vehicles with a high level of performance (more than 98%).
Demand and need in public place security has been raised in recent years. There is a wide scope of work to make a full automated real time video surveillance system to make a public place much safe and secure. The outcome of the CCTV and other digital surveillance can be enhanced by using real time foreground segmentation and occlusion handling technique. The outcome is used to analyse the suspicious...
In computer vision, gradient-based tracking is usually performed from monochromatic inputs. However, few researches consider the influence of the chosen colorto- grayscale conversion technique. This paper evaluates the impact of these conversion algorithms on tracking and homography calculation results, both being fundamental steps of augmented reality applications. Eighteen color-togreyscale algorithms...
In this paper, we present a pedestrian tracking system by using image segmentation algorithm, which incorporated pedestrian shape prior into Random Walks segmentation [1] from a static image, and tracking people by Connected Component Labeling Algorithm. We improve the random walks segmentation algorithm by using prior shape information, which provides appropriate seeds for the pedestrian segmentation...
This paper introduces a method for tracking patients under video surveillance based on a color marker system. The patients are not restricted in their movements, which requires a tracking system that can overcome non-ideal scenes e.g. occlusions, very fast movements, lighting issues and other moving objects. The suggested marker system consists of twelve unique markers that are located at each joint...
Nowadays, many lectures and presentations are recorded and broadcasted for teleteaching applications. When no human camera crew is present, the most obvious choice is for static cameras. In order to enhance the viewing experience, more advanced systems automatically track and steer the camera towards the lecturer. In this paper we propose an even more advanced system that tracks the lecturer while...
The devices such as mouse, keyboard used for controlling of computer have various limitations. The users must make physical contact with the devices and have a restricted away because of connection with wire to control computer by using these devices. Traditional communication devices for computer-person can't provide user wireless computer control without any physical. Inthis study, Computer monitoring...
In this paper, an approach for video fire detection is proposed. The basic idea is fire has a highly varying texture and waits at the same location for long consecutive periods. Since pixel-wise framework has high algorithmic cost, a patch-wise periodical analysis of fire colored moving pixels in terms of consecutive re-occurrence in a given duration is presented. Instead of analyzing the fire motion...
This paper presents a new method to track and count vehicles in video traffic sequences. The proposed method uses image processing, particle filtering, and motion coherence to group particles in videos, forming convex shapes that are analyzed for potential vehicles. This analysis takes into consideration the convex shape of the objects and background information to merge or split the groupings. After...
Human motion tracking is a common requirement for many real world applications such as video surveillance, games, cultural and medical applications. In this paper an appearance based tracking system is proposed which tracks human motion from a video scene. The system is based on appearance based color histogram and color correlogram model. Multiple people can be tracked consistently by this proposed...
Although there are many works that have been done in face tracking, most of them are not suitable for realtime requirement in smart phones which have computation limitations. In the other hand, simple algorithms capable of applying for mobile devices still have some problems in tracking. With the combination approach, we propose a face tracking system that is fast, accuracy, and easy to implement...
Video Object Segmentation (VOS) is to cut out a selected object from video sequences, where the main difficulties are shape deformation, appearance variations and background clutter. To cope with these difficulties, we propose a novel method, named as Hierarchical Localized Classification of Regions (HLCR). We suggest that appearance models as well as the spatial and temporal coherence between frames...
In this paper we present a generic video object tracking scheme that combines a feature point tracker with a graph cut based image segmentation algorithm. The system deals with deformable objects in dynamic scenes and is initialized by a ground truth of the object region in the first frame. Hence colour models representing the appearance of the foreground object and background can be estimated. Starting...
This paper introduces a proof-of-concept telepresence system that offers fully dynamic, real-time 3D scene capture and continuous-viewpoint, head-tracked stereo 3D display without requiring the user to wear any tracking or viewing apparatus. We present a complete software and hardware framework for implementing the system, which is based on an array of commodity Microsoft Kinect™color-plus-depth cameras...
This paper introduces a proof-of-concept telepresence system that offers fully dynamic, real-time 3D scene capture and continuous-viewpoint, head-tracked stereo 3D display without requiring the user to wear any tracking or viewing apparatus. We present a complete software and hardware framework for implementing the system, which is based on an array of commodity Microsoft Kinect™color-plus-depth cameras...
In this paper, a hand gesture recognition method based on color marker detection is presented, In this case, we have used four types of colored markers (red, blue, yellow and green) mounted on the two hands. With this posture the user can perform different gestures as zoom, move, draw, and write on a virtual keyboard. This implemented system provides more flexible, natural and intuitive interaction...
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.