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Tracking-Assisted Object Detection with Event Cameras
March 28, 2024, 4:42 a.m. | Ting-Kang Yen, Igor Morawski, Shusil Dangi, Kai He, Chung-Yi Lin, Jia-Fong Yeh, Hung-Ting Su, Winston Hsu
cs.LG updates on arXiv.org arxiv.org
Abstract: Event-based object detection has recently garnered attention in the computer vision community due to the exceptional properties of event cameras, such as high dynamic range and no motion blur. However, feature asynchronism and sparsity cause invisible objects due to no relative motion to the camera, posing a significant challenge in the task. Prior works have studied various memory mechanisms to preserve as many features as possible at the current time, guided by temporal clues. While …
abstract arxiv attention cameras challenge community computer computer vision cs.cv cs.lg detection dynamic event feature however object objects sparsity tracking type vision
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