2008 2nd ACM/IEEE International Conference on Distributed Smart Cameras, ICDSC 2008, 2008
ABSTRACT In the last decade, several research efforts have been undertaken in soccer video analys... more ABSTRACT In the last decade, several research efforts have been undertaken in soccer video analysis. This increasing interest is motivated by the possible applications over a wide spectrum of topics: indexing, summarization, video enhancement, team and players statistics, tactic analysis, refereepsilas support, etc. Soccer video analysis requires different challenging tasks: ball and players have to be localized in each frame, tracked over time and, above all, their interactions (passes/shoots) have to be detected and analyzed. The latter task is fundamental, especially for statistics and referee decision support purposes, but, unfortunately, it has not received adequate attention from the scientific community. In this paper a multi-view system able to understand in real time the interactions between the ball and the players is presented. The 3D ball trajectories are, firstly, extracted by triangulation from multiple fixed cameras and then projected on a virtual play-field where they are temporally analyzed to detect their variations generated by the interaction with the players. Inference processes are then introduced to fix the instant of the detected interaction and, finally, the player kicking the ball is identified by analyzing human body configuration with an innovative neural approach based on a Contourlet representation of human silhouette data. The system has been tested during several matches of the Italian first division football championship and experimental proofs of its effectiveness are reported.
The paper describes the colour correction approach of a system for the virtual aided recompositio... more The paper describes the colour correction approach of a system for the virtual aided recomposition of fragmented frescos, being developed and proved for the reconstruction of the S. Matthew's fresco, painted at the end of the 13th century by Cimabue for the Upper Church of S. Francis in Assisi and broken in more than 140.000 fragments during the earthquake of 1997. One of its key features is the selection of fragments by a query-by-example approach applied to sample images (fragments and/or details extracted from the whole image of the fresco). Unfortunately the only available picture of the whole fresco has been acquired without any colour reference and is chromatically different across its extension and with respect to fragments: its comparison with them requires specific colour transformations to be applied to each of its regions. Two different methods to identify colour correspondences between fresco and fragments (manually and automatically from the already placed fragments...
2008 2nd ACM/IEEE International Conference on Distributed Smart Cameras, ICDSC 2008, 2008
ABSTRACT In the last decade, several research efforts have been undertaken in soccer video analys... more ABSTRACT In the last decade, several research efforts have been undertaken in soccer video analysis. This increasing interest is motivated by the possible applications over a wide spectrum of topics: indexing, summarization, video enhancement, team and players statistics, tactic analysis, refereepsilas support, etc. Soccer video analysis requires different challenging tasks: ball and players have to be localized in each frame, tracked over time and, above all, their interactions (passes/shoots) have to be detected and analyzed. The latter task is fundamental, especially for statistics and referee decision support purposes, but, unfortunately, it has not received adequate attention from the scientific community. In this paper a multi-view system able to understand in real time the interactions between the ball and the players is presented. The 3D ball trajectories are, firstly, extracted by triangulation from multiple fixed cameras and then projected on a virtual play-field where they are temporally analyzed to detect their variations generated by the interaction with the players. Inference processes are then introduced to fix the instant of the detected interaction and, finally, the player kicking the ball is identified by analyzing human body configuration with an innovative neural approach based on a Contourlet representation of human silhouette data. The system has been tested during several matches of the Italian first division football championship and experimental proofs of its effectiveness are reported.
The paper describes the colour correction approach of a system for the virtual aided recompositio... more The paper describes the colour correction approach of a system for the virtual aided recomposition of fragmented frescos, being developed and proved for the reconstruction of the S. Matthew's fresco, painted at the end of the 13th century by Cimabue for the Upper Church of S. Francis in Assisi and broken in more than 140.000 fragments during the earthquake of 1997. One of its key features is the selection of fragments by a query-by-example approach applied to sample images (fragments and/or details extracted from the whole image of the fresco). Unfortunately the only available picture of the whole fresco has been acquired without any colour reference and is chromatically different across its extension and with respect to fragments: its comparison with them requires specific colour transformations to be applied to each of its regions. Two different methods to identify colour correspondences between fresco and fragments (manually and automatically from the already placed fragments...
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Papers by Nicola Mosca