VP-ReID:车辆和人员再识别系统

Longhui Wei, Xiaobin Liu, Jianing Li, Shiliang Zhang
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引用次数: 18

摘要

由于具有在大型摄像机网络中定位和跟踪特定嫌疑人或车辆的能力,人员再识别(ReID)和车辆再识别(ReID)显示出成为智能监控系统关键技术的潜力。它们已经引起了学术界和工业界的广泛关注。为了展示我们在这两个任务上的最新研究进展,我们开发了一个强大而高效的人员和视频ReID系统,命名为VP-ReID。该系统是基于我们最近的工作,包括用于判别特征提取的深度卷积神经网络设计,高效离线索引以及用于深度特征学习的距离度量优化。在这些算法的基础上,VP-ReID从大量的图库集中高效、准确地识别出查询车辆和查询人员。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
VP-ReID: Vehicle and Person Re-Identification System
With the capability of locating and tracking specific suspects or vehicles in a large camera network, person Re-Identification (ReID) and vehicle ReID show potential to be a key technology in smart surveillance system. They have been drawing lots of attentions from both academia and industry. To demonstrate our recent research progresses on those two tasks, we develop a robust and efficient person and video ReID system named as VP-ReID. This system is build based on our recent works including Deep Convolutional Neural Network design for discriminative feature extraction, efficient off-line indexing, as well as distance metric optimization for deep feature learning. Constructed upon those algorithms, VP-ReID identifies query vehicle and person efficiently and accurately from a large gallery set.
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