Wir verwenden Cookies

Wir nutzen Cookies auf unserer Website. Einige von ihnen sind essenziell, während andere uns helfen, diese Website und Ihre Erfahrung zu verbessern.

Essenziell
 
DETECT - Real Time Detection of Motion Picture Content in Live Broadcasts

The principle goal of the DETECT project was to implement a general platform for real time detection of semantic blocks and regions within digital video streams. These detected regions were then subject to further analysis and processing. The project  focused on the applications problem of detecting and delimiting predefined static and dynamic objects. This issue has currently a very large demand for both cultural and economic reasons. DETECT was an industrial driven project, although its nature was R&D. The project  resulted in a prototype, which can be turned into a product after the project. For this reason the main modules were implemented as sample applications (ProcessingUnits) for the categories which are of high commercial interest (e.g.: identification of race-cars and soccer-players).

Oops, an error occurred! Code: 202010290019450962737b
DETECT - Real Time Detection of Motion Picture Content in Live Broadcasts

The principle goal of the DETECT project was to implement a general platform for real time detection of semantic blocks and regions within digital video streams. These detected regions are then subject to further analysis and processing. The project  focused on the applications problem of detecting and delimiting predefined static and dynamic objects. This issue has currently a very large demand for both cultural and economic reasons. DETECT was an industrial driven project, although its nature is R&D. The project  resulted in a prototype, which can be turned into a product after the project. For this reason the main modules were implemented as sample applications (ProcessingUnits) for the categories which are of high commercial interest (e.g.: identification of race-cars and soccer-players).