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In this paper a visual self-localization method for a humanoid robot is presented. This one is based on monocular information. The goal of this method is to obtain the position (x; y) and orientation θ of the humanoid robot inside the field of play. The methods proposed include some digital image processing algorithms and geometric interpretation to perform a 3D monocular reconstruction, that allows...
Sports video analysis has received special attention from researchers due to its high popularity and general interest on semantic analysis. Hence, soccer videos represent an interesting field for research allowing many types of applications: indexing, summarization, players' behavior recognition and so forth. Many approaches have been applied for field extraction and recognition, arc and goalmouth...
The quality achieved by simply scaling a sports video to the limited display resolution of a mobile device is often insufficient. As a consequence, small details like the ball or lines on the playing field become unrecognizable. In this paper, we present a novel approach to analyzing court-based ball sports videos. We have developed new techniques to distinguish actual playing frames, to detect players,...
We have large needs for estimating plays in sport videos. Plays in sports are described as the motions of players. This paper proposes the play retrieving method based on the motion compensation vector in MPEG sports videos. In MPEG videos, there are motion compensation vectors. Using the motion compensation vectors, we don't need to estimate the motion vectors between adjacent frames. This leads...
On-screen text is a rich information resource to query events in soccer video due to its close relation to what happens on the screen. However, low resolution, clutter background, unknown font, size, color, etc. prevent the efforts of using this resource for querying. This paper presents a novel approach for querying events in soccer video using on-screen texts. The proposed approach is completely...
Current video and image systems are typically of limited use in poor visibility conditions such as in poor illumination, rain, fog, smoke, and haze. These conditions severely limit the range and effectiveness of imaging systems because of the severe reduction in contrast. The contrast of any image is a very important characteristic which decides the quality of image. Our chief goal in this paper is...
Table-tennis umpiring presents many challenges where technology can be judiciously applied to enhance decision-making, especially in the service facet of the game. This paper presents a system to automatically detect and track the ball during table-tennis services to enable precise judgment over their legitimacy. The system comprises a suite of algorithms that adaptively exploit spatial and temporal...
A new vision for robot soccer system for color image segmentation technologies, Adaptive threshold method, which uses RGB color space segmentation threshold value, the binary image obtained using the automatic region based on distance growth approach divided goal, when there is color shift when the H of the HSV color space to extend the use of the extended H-tone re-segmentation goals, and through...
Sub-pixel detection of target points is the performance bottleneck in camera calibration. Traditional algorithms are computational expensive or low precision when we do camera calibration in sport video analysis. In this paper, we propose a new algorithm to detect the grid-like target (i.e. tennis court in TV broadcasting). It has 3 parts: (1) color histogram based interested point classifier making...
Playfield detection is an important task in sports video content analysis, as it provides the ground for further operations such as object detection, object tracking or semantic event highlight and summarization. Traditional approaches of playfield detection usually rely on the homogeneity cue of the field pixels' color to separate it from other areas within the image frame. Although encouraging results...
In this paper authors have proposed a system to automatically recognize the Trademarks from sports video for channel hyperlinking in client end. In this method we have used the output of Set Top Box (STB) video stream in YUV 4:2:2 formats as input to our application. In this work we have first localized the text regions using some characteristic of text and then recognized the trademark using the...
In this paper, a new method for line detection at sport images using multi-agent systems is proposed. For this purpose, we introduced some agents. Each agent can recognize special section of an image, for example one agent for recognition of sport imagepsilas background (green pixels) and another for recognition of images line (white pixels).The results show good performance with respect to other...
This paper presents an illumination adaptive color object recognition method for robot soccer match. Generally, the colors are identified by referring to the pre-defined bounds for the components of each color. However, it is not an easy work to define non-interfered bounds for different colors, and the bounds are sensitive to illumination conditions. Instead, in this work, different colors are discriminated...
In this paper, we propose a novel hierarchical framework for soccer (football) video classification. Unlike most existing video classification approaches, which focus on shot detection followed by classification based on clustering using shot aggregation, the proposed scheme perform a top-down video scene classification which avoids shot clustering. This improves the classification accuracy and also...
In sports videos, text information provides valuable game information such as scores, players, and so on. This text information plays an important role for sports video understanding, summarization, and retrieval. These texts which can be used for video highlight or content search are called key captions. In this paper, we provide a robust detection method of key captions in sports videos. We also...
Sport video enrichment can provide viewers more interaction and user experiences. In this paper, with tennis sport video as an example, two techniques are proposed for video enrichment: content layer separation and real-time rendering. The video content is decomposed into different layers, like field, players and ball, and the enriched video is rendered by re-integrated these layers information. They...
We present the embedded vision system used in the four-legged league which is one of the official leagues in Robocup competition. This vision system runs at frame rate in AIBO robots, while detecting colour coded objects and field line features. The detection of field line features is becoming necessary because RoboCuppsilas rules change year after year in order to push progress toward real soccer...
Optimizing vision processing is crucial for real-time performance of robots in RoboCuppsilas small-size league (SSL). We describe in this paper our current approach to improve visual processing in ITAMpsilas Eagle Knights SSL team. We describe our use of a neural network to classify camera image pixels to a discrete set of color classes that is robust under different light conditions. We show how...
With the fast development of video semantic analysis, there has been increasing attention to the typical issue of the semantic analysis of soccer program. Based on the color feature analysis, this paper focuses on the video shot segmentation problem from the perspective of semantic analysis, i.e. the semantic shot segmentation. Most existing works segment and classify the shot by using the dominant...
In sports videos, text provides valuable information about the game such as scores and information about the players. This paper provides a golf navigation system based on this player information. In the case of baseball and soccer, the location of key captions such as scoreboard captions is generally fixed during the game. However, in golf, the location of the key captions containing player information...
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