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In the paper, different variations of solving the problem of the visual odometry for a mobile robot with short-baseline stereo camera are investigated, and a conclusion on the suitability of the approaches considered is done.
Action recognition has been an active research area in computer vision community during the recent years. However, it is still a challenging task due to the difficulties mainly resulted from the background clutter, illumination changes, large intra-class variation and noise. In this paper, we aim to develop an action recognition approach by navigating focus of attention (action region) with saliency...
We present a new way to combine the propagated flow in image pyramid and dense correspondences from descriptor matching for large displacement optical flow estimation. Because the matches and the flow propagated from the coarser level in image pyramid are possibly wrong, our method uses color-based weighted linear interpolation to reduce the wrong initial flow and alleviate over-smoothing, instead...
The purpose of this study is learning and classification of video activities using video color and motion information. The video activity labeling is important for many applications such as video content modeling, indexing, and quick access to content. In this study video activity recognition is performed by deep learning. In order to learn visual features of video, Convolutional Neural Network (CNN)...
Fall detection plays a significant role in the medical care of elderly people. As reported, falling is the main cause leading to the death of the elderly over the age of 65. Recently, video-based fall detection methods have been widely used, with the progress of intelligent video analysis. In this study, we presents a novel method to detect the fall with a position-fixed RGB camera. Our method consists...
the objective of this work is to compute the Time-to-Collision (TTC) of surrounding vehicles of a vehicle using motion information in driving video. The key advantage in this work is the extraction of potential danger without vehicle detection and recognition in prior, but directly from the motion divergence in the video. We analyze the trace expansion both horizontally and vertically condensed in...
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...
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...
A fire smoke detection algorithm based on optical flow method and texture feature is proposed, which can be used for early fire alarm. It establishes the image of Pyramid, and uses LBP and LBPV to extract the static texture features of different levels. Due to the turbulence characteristic of the smoke motion, the smoke direction is consistent, and optical flow vector analysis is used to judge the...
Non-photorealistic rendering technique can be powerful approach to enhance both visual coherence and immersion in immersive media. Especially, painterly rendering is one of Non- photorealistic rendering that seems similar to paintings using 2D or 3D model data and artist's painting is affected by factors such as how he observes objects. In here, we can notice from paintings that painters observe the...
We analyze gestures for the initialization of HCI system, such as ‘hand-shaking’ and ‘hand-pushing’, especially in the aspects of robustness and sensing methods. For the detection of derived ‘hand-pushing’ action, temporal variation of depth histogram is used. The proposed method is empirically verified.
With the development of construction techniques, the high-rise buildings have been established and populated. In the event of fire in these buildings, as the fire is spreading, the risk of large fire is increased and the resulting casualties and property damages are increased. Therefore, the techniques to detect the flame at an early stage are necessary in order to prevent the fire and minimize the...
Moving object detection under a dynamic background has been a serious challenge in real-time computer vision applications. Global motion compensation approaches, a popular existing technique, aims at compensating the moving background for moving target segmentation. However, it suffers from inaccurate global motion parameters estimation. The paper presents a moving object detection technique that...
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...
A gesture motion detection algorithm based on optical flow method is elaborated in this paper as significant way of human-computer interaction. The skin color segmentation algorithm based on ellipse skin color model in YCbCr color space and Pyramid Lucas-Kanade optical flow method constitute the basic modules of gesture motion detection. The skin color areas are selected in sequence by skin color...
This paper presents a Cloud-based architecture for detecting and tracking multiple moving targets from airborne videos combined with the audio assistance, which is called Cloud-based Audio-Video (CAV) fusion. The CAV system innovation is a method for user-based voice-to-text color feature descriptor track matching with an automated hue feature extraction from image pixels. The introduced CAV approach...
This paper proposes an efficient approach to retarget video based on stretch ability-aware block scaling. The static stretch ability of the frame image is first evaluated based on gradient, saliency and color features. Then the dynamic stretch ability of the frame image is determined through the mapping of blocks under the constraint of optical flow vectors. Based on the analysis of frame image dynamic...
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...
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