Multi-GPU based camera network system keeps privacy using growing neural gas
Sergio Orts‐Escolano, José García‐Rodríguez, Jorge Azorín-López, Juan Manuel García‐Chamizo · 2012
In this work we present a multi-camera surveillance system based on the use of self-organizing neural networks to represent events in video. The objectives include: identifying and tracking persons or objects in the scene or the interpretation of user gestures for interaction with services, devices and systems implemented in the digital home. Additionally, the system process several tasks in parallel using GPUs (Graphic Processor Units). Addressing multiple vision tasks of various levels such as segmentation, representation or characterization, analysis and monitoring of the movement to allow the construction of a robust representation of their environment and interpret the elements of the scene.