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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,...
In this paper, a method combining PnP and OI algorithms is developed to measure the pose of a humanoid robot in high precision in order to play table tennis. The PnP-based algorithm is employed to obtain the rough pose, which is taken as the initial value of the OI algorithm. The OI algorithm optimizes the result in order to ensure the orthogonal orientation matrix of the pose. Considering the real-time,...
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...
In this paper, we investigate camera calibration in soccer field using a field model defined according to FIFA standards. The proposed algorithm searches for homographic transform matrix for best correspondence between world coordinate and image coordinate systems. To find this matrix, some static markers are required in image and field. A good proposal for these markers is the intersections of lines...
The automatic detection of meaningful phases in a soccer game depends on the accurate localization of players and the ball at each moment. However, the automatic analysis of soccer sequences is a challenging task due to the presence of fast moving multiple objects. For this purpose, we present a multi-camera analysis system that yields the position of the ball and players on a common ground plane...
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...
Searching a required image based on the content and visual meaning of the image is challenging. One of the complex groups of images is sport image since a sport image may contain various relevant information such as players' postures, textures and color of players' clothes, and complicated background ground. Achieving high recognition rate depends upond the features extracted from the image. In this...
We propose a method to detect events and event boundaries in soccer videos by using web-casting texts and audio-visual features. The events and their inaccurate time information given in web-casting texts need to be aligned with the visual content of the video. We overcome this issue by utilizing textual, visual and audio features. Existing methods assume that the time at which the event occurs is...
Recently, the studies of human motion analysis have attracted great attention among the researches in the field of biomechanics, medicine and sports by analyzing the joints, postures, and movements of the human. Our research focuses on analyzing the joints movement of a professional golfer. We represent those joint movements with an articulate stick human model. This paper presents a method for tracking...
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...
We present a novel approach for robust localization of multiple people observed using multiple cameras. We use this location information to generate sports visualizations, which include displaying a virtual offside line in soccer games, and showing players' positions and motion patterns. Our main contribution is the modeling and analysis for the problem of fusing corresponding players' positional...
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...
The purpose of this project is to design a system that is capable of locating and tracking a soccer ball during a normal soccer game. The necessary algorithms for this system accurately distinguish between stationary and moving objects in a stream of video frames and are able to consistently detect which of these moving objects is the soccer ball. The system is aware of the position of the soccer...
We derive analytical models of the rebound phenomenon between a ping-pong ball and the table/racket rubber. In the rebound model of the table, the determination of the type of the contact during the impact is derived as a generalized condition in the 3-dimensional space. In the model between the ball and racket rubber, it is assumed that the kinetic energy of the tangent velocity is stored as the...
With the increasing demand of video services, efficient detection approaches are required to deal with the increasing amount of sport video like baseball, tennis and soccer. Specially, due to characteristics of soccer game, timeliness is a foremost. So apart from efficient performance, real-time or near real-time performance is crucial. In this paper, we propose an effective method for soccer video...
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