Multi-resolution Rescored ByteTrack for Video Object Detection on Ultra-low-power Embedded Systems

arXiv:2404.11488v1 Announce Type: new
Abstract: This paper introduces Multi-Resolution Rescored Byte-Track (MR2-ByteTrack), a novel video object detection framework for ultra-low-power embedded processors. This method reduces the average compute load of an off-the-shelf Deep Neural Network (DNN) based object detector by up to 2.25$\times$ by alternating the processing of high-resolution images (320$\times$320 pixels) with multiple down-sized frames (192$\times$192 pixels). To tackle the accuracy degradation due to the reduced image input size, MR2-ByteTrack correlates the output detections over time using the ByteTrack …

arxiv cs.ai cs.cv detection embedded low object power resolution systems type video