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In this paper, we propose a method to track multiple players in a football match video which is captured by a single camera. The camera pans and brings the players and the ball into the view, enabling to record the whole pitch. The players' trajectories in frames and camera movement are obtained to estimate the trajectories on the pitch. Moreover, we propose an effective tracking method for solving...
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...
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...
The analysis of large sums of soccer statistics can be extremely difficult if the data is not presented graphically. As a result, we developed an application, titled Soccer Scoop, which provides two separate visualizations that can aid a soccer team manager. With our application, a team manager can compare two players on different teams, analyze a particular player before signing them to a contract,...
Recent years have brought an increasing interest on analyzing efficiently the performance of sports players during training sessions and games. The information collected from such analysis is very valuable to educators and coaches since it allows them to better understand the difficulties of a trainee, a player or even an entire team and formulate adequate training and strategic plans accordingly...
We propose an automatic soccer video summarization engine which relies on an improved algorithm for the detection of replay shots which delineate interesting events. Video shots are first detected using dominant color and histogram intersection methods. Replay shots are detected using an improved technique, then processed through a set of mid-level descriptors (goal-mouth and score board with other...
With popularization of multimedia devices, semantic analysis of sports video has been widely studied. In this paper, we propose a highlight generation method for basketball games. To create a video highlight, the proposed method selects interesting shots by modeling excitements of the game using score information. For this purpose, a video is first segmented into shots and classified as play and nonplay...
Sports videos appeal to a vast majority of people. Hence, video streaming of sports videos presents a profitable business opportunity. As a result, there is an astronomical increase in the amount of sports content available on the internet. Businesses and users face a new problem of perusing such large amounts of multimedia content quickly for the required information. One technique that can enable...
In this paper, it is described the new Citizenpsilas micro-robots and the platform used in RoboCuppsilas Mixed Reality category. Later, it is presented our mixed reality researches using these robots. These researches focus on the study of Mixed Reality applications for this platform. Moreover, it is showed our contributions to the development of this Mixed Reality platform: the development of an...
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...
This manuscript presents object detection and tracking in video clips of soccer matches. Background subtraction based framework on pixel energy is proposed to detect objects in the input video clip with varying light conditions, high frame rates, and real-time processing. Unsupervised clustering is then used classify detected objects into various classes. A stochastic approach based on maximum a posteriori...
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...
Playfield is one of main parts appearing in typical scenes of sports video. Generally, the playfield always has very distinctive attributes. For baseball, the playfield is composed of grass and soil. The colors of grass and soil are selected as a feature to segment the playfield in our work. However, playfield colors demonstrate significant variations, which may cause a large amount of segmentation...
This paper presents a player segmentation methodology for videos of soccer games. This methodology includes some low and high level video processing algorithms, such as dominant color region detection, referee and player identification. Experimental results have shown the efficiency of the methodology in locating and segmenting referee and players.
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