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In dense matching (including stereo matching and optical flow), nearly all existing approaches are based on simple features, such as gray or RGB color, gradient or simple transformations like census, to calculate matching costs. These features do not perform well in complex scenes that may involve radiometric changes, noises, overexposure and/or textureless regions. Various problems may appear, such...
In the aluminum electrolysis production process, the degree of superheat is an influential index of the whole process, reflecting the distribution of the physical field of the electrolytic cell, the current efficiency in the electrolytic production, and the lifespan of the electrolytic cell. Therefore, detection or identification of the superheat is significant for the production process. However,...
The obstacle detection system could be performed using Pyramidal Lucas Kanade Optical Flow calculation. The calculation is using greyscale images obtained from a camera or video files as input. The results from optical flow calculation then processed into Time to Contact (TTC) value that is used to estimate the distance of the robot to the obstacle. This paper proposed an idea to combine Pyramidal...
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...
Visual saliency approaches aim to detect regions that attract human attention more than others. To find salient objects in a video shot we start from the hypothesis that moving objects attract attention more than other and are considered salient. In this paper, a novel video saliency model is proposed. Saliency map is the result of a combination between a dynamic map and a static map. For each pair...
Currently, many applications require following objects through a sequence of images. Typically, the motion is estimated by calculating the optical flow on monochrome images because it involves fewer computational cost. However, sometimes the intensity of the pixels may not be sufficient to successfully achieve the objective of identifying moving objects. In this paper, it is proposed to use models...
In this paper, we propose a robust video colorization method automatically through limited color references in a video sequence. The proposed method first estimates motion vectors between a monochrome frame and colored reference frames for initial matching by optical flow. Then it transfers color information to matched points in the monochrome frame and further propagates color information of matched...
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...
The demand for people tracking in dense crowds is increasing, but it is a challenging problem in the computer vision field. "Crowd tracking" is extremely difficult because of hard occlusions, various motions and posture changes. In particular, we need to handle occlusions for more robust tracking. This paper discusses robust crowd tracking based on a combination of supervoxels and optical...
This paper proposes a computer vision approach aimed at improving the operation of an elevator based on its spatial occupancy. Besides parameters such as weight and number of persons, we use floor space as an additional parameter to determine occupancy more accurately. Our approach combines the use of Horn-Schunck optical flow to monitor opening and closing of the elevator's door so that the floor...
Unmanned aerial vehicles (UAVs) are widely used for commercial and military purposes. UAVs are mostly dependent on an Inertial Measurement Unit(IMU) for navigation. We have presented an alternate approach to estimate the states of an UAV using only onboard camera which can be either used alone or assimilated with the IMU output to enable reliable, accurate and robust navigation. As UAVs are generally...
Multiview video is becoming increasingly popular as the format for 3D video systems that use autostereoscopic displays or freeviewpoint navigation capabilities. However, the algorithms that drive these applications are not yet mature and can suffer from subtle irregularities such as color imbalances inbetween different cameras. Regarding the problem of color correction, state-of-the-art methods directly...
We present in this paper facial skin motion localization in a video sequence. When a face is under motion, a set of muscles, lip shape, eyebrows… are involved. The changes in successive images have direct effects on facial motion. Our work proposes an approach to detect points and areas that undergoes significant movement on a face under motion. Our method requires only simple devices: a webcam and...
Over the years Vision based real time gesture recognition system has witnessed an exponential growth because of its manifoldness applications, ranging from sign language to virtual reality and its ability to interact with system efficiently through HCI. In this paper, we have proposed a hand gesture recognition system for American Sign Language recognition using important features of hand such as...
In this paper we present a method for roadside vegetation detection intended for traffic safety and road infrastructure maintenance. While many published methods are using Near Infrared images which are suitable for vegetation detection, our method uses features from the visible spectrum allowing the use of a common color camera. The presented method uses a set of carefully selected color and texture...
In this paper we present a method for roadside vegetation detection from video obtained from a moving vehicle with intended use in road infrastructure maintenance and traffic safety. While many published methods are using Near Infrared images which are suitable for vegetation detection, our method uses image features from the visible spectrum allowing the use of a common color camera. The presented...
Optical Flow estimation is used to estimate displacement vectors for each pixels in two frames of a video. This displacement vector says how quickly a pixel is moving across the image and direction of movement of each pixel. According to the direction of movement, a color is assigned to each flow vector and intensity of color varies according to the magnitude of velocity. In this paper, optical flow...
Optical Flow is a very important topic in computer vision, with applications in object tracking, motion estimation and video compression. Recently, Tao et al. proposed the Simple-Flow algorithm - a non-iterative method whose running times increase sublinearly with the number of pixels. SimpleFlow does not use global optimization and uses only local evidence, achieving significant speedups in parallel...
Abandoned object discovery using tracking based approaches are often become unpredictable in complex surveillance videos due to noise, occlusions, lighting changes, and other factors. This proposed paper presents a new structure to strongly and proficiently detect abandoned objects based on background subtraction. In this proposed system, the background is modelled by Gaussian mixture. In order to...
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