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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 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...
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...
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...
This paper proposes the use of a Visual Sensor Network (VSN) for tracking the motion of tennis players on court in real-time. The proposed autonomous and wireless VSN nodes are miniaturised and powered by battery, making them ideally suited for monitoring training sessions and matches at any location. With the proposed framework, the player is tracked in the image plane using a statistical background...
In baseball, the strike zone plays an important role in each pitch. Pitches which pass through the strike zone count as strikes, three of which strike out the batter. Thus, pitchers should acquire mastery of the strike zone. Moreover, the strike zone also provides the reference for positioning the pitch locations, about which sports fans and professionals have an intense interest in compile statistics...
In this work, we propose a framework to build a billiards tutoring system based on broadcasting nine-ball video analysis. A robust table detection module is developed by mapping the displayed video frames to a predefined billiard table model. In addition, we detect balls and trace their positions at every time instant. The real-world spatial relationships between the table and the balls are used to...
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...
In this paper, we propose a method to acquire the possession information in different zones of the playfield from soccer video by using view type and playfield zone mid-level descriptors. First, each video frame is classified into three kinds of view type according to a domain-specific feature, grass area ratio and series of classification rules. Then, the classified frames are used to determine the...
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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