ACF object detector for FPGA

ACF detektor objektů pro FPGA

software

In order to use the result by another entity, it is always necessary to acquire a license

The licensor requires a license fee for the result

Musil Petr, Ing., Ph.D. (DCGM)
Juránek Roman, Ing., Ph.D. (DCGM)
Zemčík Pavel, prof. Dr. Ing., dr. h. c. (DCGM)
Maršík Lukáš, Ing. (DCGM)

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. 

Místnost Q201, Fakulta informačních technologií VUT v Brně, Božetěchova 2, 612 66 Brno

From the cloud to the edge - smart IntegraTion and OPtimisation Technologies for highly efficient Image and VIdeo processing Systems, MŠMT, Společná technologická iniciativa ECSEL, 8A18011, start: 2018-06-01, end: 2021-11-30, completed

Department of Computer Graphics and Multimedia (DCGM)