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In this paper, we propose readability enhancement of low light videos based on discrete wavelet transform (DWT). Captured videos under the low light condition have a narrow dynamic range (low contrast) with a dark tone as well as are highly corrupted by noise. We achieve both contrast enhancement and noise reduction in low light videos using wavelet coefficients. First, we perform normalization to...
The method proposed in this paper focuses on problems of motion detection and counting of very small moving objects in videos. Existing video processing methods need a defined form or a sufficient size of moving objects and do not provide accurate results in the case of very small moving objects. Many false detections can occur or many moving objects can be missed. To deal with these problems, reliability...
The speed characteristic of moving contact is vital to the high voltage circuit breakers. But due to the contacts of high voltage circuit breaker are completely isolated by arc chamber, the common measurement methods have some disadvantages. In this paper, a new method for measuring the speed characteristics based on machine vision algorithm is developed. This noninvasive method just needs to draw...
We introduce a novel formulation of temporal color constancy which considers multiple frames preceding the frame for which illumination is estimated. We propose an end-to-end trainable recurrent color constancy network – the RCC-Net – which exploits convolutional LSTMs and a simulated sequence to learn compositional representations in space and time. We use a standard single frame color constancy...
Detecting logo frequency and duration in sports videos provides sponsors an effective way to evaluate their advertising efforts. However, general-purposed object detection methods cannot address all the challenges in sports videos. In this paper, we propose a mutual-enhanced approach that can improve the detection of a logo through the information obtained from other simultaneously occurred logos...
In this study, a real-time system design, which can track (RGB) targets in dynamic environments with an active camera, was implemented. Object tracking applications are quite important for military, surveillance system and operational robot applications and getting more important day by day. This design allows us tracking an object using fewer cameras. The design consists of three main parts that...
The delays in the detection of fire in fire detection systems continue to be a life threatening problem for living things. Techniques based on image processing have been developed in order to remove this problem and minimize the detection period. This study also focused on the smoke image that appeared before the flame at the time of the fire. Smoke detection can provide earlier notification than...
In this paper, a novel approach to identifying superpixels in the cluttered environment is proposed. In our proposed method, the temporal cue and depth maps obtained from depth sensors are combined with the popular method SLIC for superpixels using a new formulation of distance-minimizing clustering. Under cluttered environment, this proposed method can, compared with color-based approaches, better...
Face detection and tracking algorithms are used in computer vision applications due to the fact that they provide reliable and fast results. This paper describes a model for face tracking in video sequences using Open Source Computer Vision (OpenCV) software library. To increase the face tracking accuracy, we propose a real time face tracking algorithm based on integration of Continuously Adaptive...
The growing interest in recent years for gender recognition from face images is mainly attributable to the wide range of possible applications that can be used for commercial and marketing purposes. It is desirable that such algorithms process high resolution video frames acquired by using surveillance cameras in real-time. To the best of our knowledge, however, there are no studies which analyze...
Person re-identification has received considerable attention in the image processing, computer vision and pattern recognition communities because of its huge potential for video-based surveillance applications and the challenges it presents due to illumination, pose and viewpoint changes among non-overlapping cameras. Being different from the widely used low-level descriptors, visual attributes (e...
The object tracking is used as instruction controller in wheelchair that track the movement direction of object along time. The movement direction include left, right and onward. The left and right direction can be calculated by using the changing of x-coordinate of object in every sub sequence frame. The challenge is to determine the onward moving. The onward moving cannot calculate simply by coordinate...
Nearly all of our relationships maintained from birth to death leave in digitally. Human relations are playing predominant role on real-time situations. In this paper to take as computational relations of human being data through Social media sites. Such as facebook, Twitter, LinkedIn, Printerest, GooglePlus+, Tumblr, Instagram, VK, Flickr, vine, Meetup, Tagged, Ask.fm, MeetMe, classmates, since Facebook...
The notion of a Fast Moving Object (FMO), i.e. an object that moves over a distance exceeding its size within the exposure time, is introduced. FMOs may, and typically do, rotate with high angular speed. FMOs are very common in sports videos, but are not rare elsewhere. In a single frame, such objects are often barely visible and appear as semitransparent streaks. A method for the detection and tracking...
Image matting is a fundamental computer vision problem and has many applications. Previous algorithms have poor performance when an image has similar foreground and background colors or complicated textures. The main reasons are prior methods 1) only use low-level features and 2) lack high-level context. In this paper, we propose a novel deep learning based algorithm that can tackle both these problems...
We describe a system for autonomous depth perception for surveillance in real world environments. With the ever-increasing need for surveillance, human operators are facing a challenging task to track suspicious behavior while looking at a large number of videos in real-time. We present an autonomous suspicious object detection method using depth information obtained from the Microsoft Kinect sensor...
We describe an object replacement approach whereby privacy-sensitive objects in videos are replaced by abstract cartoons taken from clip art. Our approach uses a combination of computer vision, deep learning, and image processing techniques to detect objects, abstract details, and replace them with cartoon clip art. We conducted a user study (N=85) to discern the utility and effectiveness of our cartoon...
This article gives a more robust justification for the use of the Bhattacharyya distance in the algorithm used by our Automated Sport Analysis System named ACE in the first of its three perception modules. Such first module consists in the temporal segmentation of television video broadcasts, aiming to break down the video into shots, delimited by scene boundaries. An evaluation of other seven histogram...
Nowadays, traffic surveillance systems are installed in major cities. They are usually used for two purposes, i.e. realtime traffic monitoring and archived events searching. For the latter purpose, the traffic surveillance systems can be used for police officers' benefits, such as vehicle identification in specific events including stolen vehicles or hit-and-run cases. In such circumstances, the officers...
Rushes videos consist of two types of content: the useless content and the redundant content (retakes). Then, automatic retake detection is more challenging due to the difficulty of eliminating repetitive takes, that are usually have different lengths and motion patterns. To overcome this challenge, previous approaches represent video segments using a longer string which is converted from SIFT matching,...
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