Real-time HOG+SVM based object detection using SoC FPGA for a UHD video stream. (arXiv:2204.10619v1 [cs.CV])

Object detection is an essential component of many vision systems. For
example, pedestrian detection is used in advanced driver assistance systems
(ADAS) and advanced video surveillance systems (AVSS). Currently, most
detectors use deep convolutional neural networks (e.g., the YOLO -- You Only
Look Once -- family), which, however, due to their high computational
complexity, are not able to process a very high-resolution video stream in
real-time, especially within a limited energy budget. In this paper we present
a hardware implementation …

arxiv cv detection real-time soc svm time video