ACF object detector for FPGA

ACF detektor objektů pro FPGA

software

required - licence fee

Musil Petr, Ing., Ph.D. (DCGM FIT BUT)
Juránek Roman, Ing., Ph.D. (DCGM FIT BUT)
Zemčík Pavel, prof. Dr. Ing. (DCGM FIT BUT)
Maršík Lukáš, Ing. (CAMEA)

Object detection, ACF, FPGA, decision tree

IP core for object detection in image using ACF detector. This uses multi-channel image features and a cascaded classifier with a decision tree. During evaluation, it is possible to parallelize the computation by partitioning the features into banks, thus increasing the performance of the system linearly, but this must be taken into account during the training process. In the configuration file, it is possible to set IP core parameters such as the maximum resolution of the input image, the number of classifiers and their length, the number of banks to be evaluated in parallel, the size range of the detected objects, etc., to influence the performance and the amount of resources consumed. The Detection IP core can process video up to 4K resolution, classify up to 8 different object classes, and provides sufficient performance to process FullHD video at 60 fps. 

From the cloud to the edge - smart IntegraTion and OPtimisation Technologies for highly efficient Image and VIdeo processing Systems (8A18011)

CAMEA, spol. s r. o. (CAMEA)
Department of Computer Graphics and Multimedia FIT BUT (DCGM FIT BUT)