Title :
High performance FPGA object detector: Hardware prototype
Author :
Zemcik, Pavel ; Juranek, Roman ; Musil, Petr ; Musil, Martin ; Hradis, Michal
Author_Institution :
Dept. of Comput. Graphics & Multimedia, Brno Univ. of Technol., Brno, Czech Republic
Abstract :
Summary form only given. In this demo, we introduce a novel architecture of an engine for high performance multi-scale detection of objects in videos based on WaldBoost training algorithm. The key properties of the architecture include processing of streamed data and low resource consumption. We implemented the engine in FPGA and we show that it can process 640 × 480 pixel video streams at over 160 FPS without the need of external memory.
Keywords :
field programmable gate arrays; learning (artificial intelligence); object detection; video signal processing; video streaming; WaldBoost training algorithm; engine architecture; hardware prototype; high performance FPGA object detector; high performance multiscale object detection; low resource consumption; streamed data processing; video streams; Detectors; Engines; Field programmable gate arrays; Hardware; Prototypes; Streaming media; Videos;
Conference_Titel :
Field Programmable Logic and Applications (FPL), 2013 23rd International Conference on
Conference_Location :
Porto
DOI :
10.1109/FPL.2013.6645622
