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Brake light detection of front cars has become a very important issue in safety of transport systems in recent years. As an adjunct component of automatic braking or warning systems, recognition and discrimination of the brake lights using vehicle-mounted cameras provides early warning to avoid rear-end collisions for the vehicles. Therefore in this paper a single camera-based segmentation method...
Maintaining natural appearance for human face and skin areas is essential in TV image enhancement. High-end TV video processing chips include skin detectors for this purpose. This paper presents a technique for improved skin detection, using a trainable color feature and a multi-scale texture feature. Evaluation on a database of 173 manually annotated natural images shows that at a true positive rate...
This paper provides an overview of multidimensional AM-FM methods for analyzing medical images and videos. Over the last decade, several new AM-FM demodulation methods have been developed. We provide a discussion of what many of these methods share in common, and give some details on recent, Hilbert-based approaches. Medical image applications range from medical image segmentation, resolution enhancement,...
In order to extract numbers from an aerial video, an improved algorithm of the text event detection is presented in this paper. This method intercepts key frames using the way of comparison between frame difference and the dynamic threshold. In this way, it can avoid unnecessary trouble made by dealing with the video frame by frame. Results show that this method can save much computing time as well...
The following topics are dealt with: computer vision and pattern recognition; optical flow and image registration; image and video search; stereo matching; image enhancement and restoration; statistical methods and learning; object detection and recognition; texture, symmetry and shape; face recognition; SFM and geometry; video analysis; image segmentation; medical image analysis; radiometry and optimization...
In the field of iris-based recognition, evaluation of quality of images has a number of important applications. These include image acquisition, enhancement, and data fusion. Iris image quality metrics designed for these applications are used as figures of merit to quantify degradations or improvements in iris images due to various image processing operations. This paper elaborates on the factors...
We present an application of machine learning to the semi-automatic synthesis of robust servo-trackers for underwater robotics. In particular, we investigate an approach based on the use of Boosting for robust visual tracking of color objects in an underwater environment. To this end, we use AdaBoost, the most common variant of the Boosting algorithm, to select a number of low-complexity but moderately...
With the expansion of the transportation volume at sea, maritime search and rescue became an enormous task. To improve the rate of life saving, this paper puts forward a vision enhancement system based on infrared video for the maritime search and rescue. A method is proposed for detecting and tracking targets at sea. Based on the characteristics of infrared image and the sea environment, we combine...
This paper proposes an adaptive video enhancement method using neural network (NN). Inaccurate separation of the composite video signal produces cross-luma artifacts such as dot crawls and blurs edges of an image. Even digital televisions suffer from these artifacts because high definition contents are based on old technology. In order to correct old artifacts we propose two types of NN filtering...
The capability of extracting moving objects from a video sequence captured using a static camera is a typical first step in visual surveillance. This procedure is called a background subtraction (BGS), and it uses the temporal distribution of pixel values over the sequence of frames. Pixel based BGS can be improved by considering the spatial coherence around each pixel, and in this paper we present...
Median value filter is used to eliminate or reduce the noise caused by the outside environment. The edge information of road image is enhanced by Sobel operator. And then based on the Otsu method, an effective algorithm is proposed to binary-code the lane image in order to segment and identify road edge easily. Finally, Hough transformation is used to extract the feature of lane and detect the lane...
Camera-equipped mini-UAVs are popular for many applications, including search and surveillance, but video from them is commonly plagued with distracting jittery motions and disorienting rotations that make it difficult for human viewers to detect objects of interest and infer spatial relationships. For time-critical search situations there are also inherent tradeoffs between detection and search speed...
Current TV image enhancement can be improved if the image is analyzed, objects of interest are segmented, and each segment is processed with content-specific enhancement algorithms. In this paper we present an algorithm for segmenting grass areas in video sequences. The system employs multi-scale texture analysis and adaptive color and position models for computing a pixel-based soft segmentation...
A new 3-D data representation format consisting of monoscopic color video and its associated per-pixel depth information is a most promising technique applied in future three-dimensional television system. Despite many advantages of this representation, a large problem which is so-called disocclusion still exists when synthesizing one or more virtual views of a real-world scene by means of depth image...
The following topics are dealt with: biomedical signal processing; biomedical image processing; video signal processing; computer vision; image segmentation and motion analysis; speech processing and analysis; filter theory; image enhancement and restoration; image compression and coding; digital shape analysis; pattern recognition; Bayesian signal processing; machine vision and probabilistic graphical...
Using high-resolution flat panel displays for TV systems, the visibility of signal impairments has grown. As a solution, content-based image processing can be used for obtaining higher levels of picture-quality improvement, thereby outperforming traditional TV image-enhancement methods. This paper presents a new algorithm and feature model for blue sky detection, which enables content-adaptive enhancement...
This paper proposes a number of improvements to existing work in off line video object segmentation. Object color and motion variance, and histogram-based merging are used to improve the initial segmentation. Segmentation quality measures taken from throughout the clip are used to enhance video objects. Cumulative histogram-based merging, occlusion handling, and island detection are used to help group...
This paper presents a robust approach to extracting and summarizing the textual content of instructional videos for handwritten recognition, indexing and retrieval, and other e-learning applications. Content extraction from instructional videos is challenging due to image noise, light condition changes, camera movements, and unavoidable occlusions by instructors. In this paper, we develop a probabilistic...
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