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In recent years, the research on detecting human faces in color image and in video sequence has been attracted with more and more people, but automatic human face detection from images in surveillance and biométrie applications is still a challenging task due to the computation inaccuracies and the continuous nature of some transformations. In this paper we propose a novel face detection algorithms...
This paper presents a vision based scheme for detecting flying vehicle using a new feature extraction and correspondence algorithm as well as a motion flow vectors classifier. The base of detection is to classify the motion flow vectors of object and scene at two video sequences from a mobile monocular CCD camera. For this purpose, we introduce a method to extract robust features from fuzzified edges...
In outsized multimedia databases video segmentation is a fundamental constituent necessary to assist proficient content based retrieval and browsing of visual information. This paper presents work towards an integrated framework for computerized video shot detection. In this framework a set of representative key frames are selected which helps in summarizing of the entire video content into an abstract...
In this paper, we propose the ball tracking method that is tracking the ball adaptively and robustly in the soccer video. In the latest works, people have used the Typical Kalman Filter to track the ball. But when the ball is disappearing due to the occlusion with players,Typical Kalman Filter has no choice but to make a pool prediction and especially if the player take the ball for along time, the...
Video stabilization is a technology to remove the dithering between frames in a video sequence by motion estimation, motion filter and motion compensation. In this paper, we focus on the motion estimation (ME) step which is known as the most important part for a successful video stabilization system because the latter processing heavily relies on it. However, traditional ME methods mainly hypothesize...
Disability of visual text reading has a huge impact on the quality of life for visually disabled people. One of the most anticipated devices is a wearable camera capable of finding text regions in natural scenes and translating the text into another representation such as sound or braille. In order to develop such a device, text tracking in video sequences is required as well as text detection. We...
In this paper, the author focused on the design of a reduced-reference metric for wireless video quality measurement. The metric based on the principle that human trends to have different perceptibility to impairment which appeared in difference spatial and temporal regions of a video sequence. To be cooperated with the principle, the author improved on the traditional image quality metric based on...
Video summarization is not only the key to effective cataloging and browsing video, but also as an embedded cue to trace video object activities. In this paper, a video summarization approach based on machine learning is developed for automatic video transition prediction. Several novel features are extracted to characterize video boundary, including cut, fade in, fade out and dissolve for facilitating...
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