Zhu, JunkangTang, WeiLee, Ching-EnYe, HaoleiMcCreath, EricZhang, Zhengya2024-01-2913-19 June978-4-86348-780-2http://hdl.handle.net/1885/312083VOTA is a domain-specific accelerator for correlation filter (CF)-based visual object tracking (VOT). It encompasses a Winograd convolution core, a FFT core and a vector core in a high-bandwidth starring topology. VOTA's frame-based instructions and execution enable a 537GFLOPS performance and reduce the code size. An instruction-chaining mechanism permits inter-core pipelining to improve the utilization to 84.2%. A 10.2mm2 28nm FP16 VOTA prototype incorporating a RISC-V host CPU is measured to achieve 2.45TFLOPS/W at 0.72V. Running OPCF, a CF-based VOT enhanced by adaptive boosting and particle filters, the chip achieves 1157FPS on 640×480 input frames at 0.9V and 175MHz, consuming 296mW.The authors would like to thank Ford-UM Research Alliance for funding this work and the TSMC University Shuttle Program for chip fabrication support.application/pdfen-AU© 2021 IEEE202110.23919/VLSICircuits52068.2021.94923792022-10-02