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对作者源码进行了大幅度的性能改进,运行速度和内存占用都有巨大的改善,算法的各种评测指标基本保持不变

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跨摄像头指定行人跟踪:追踪(Tracking)

Created by Ya-Nan Chen at IAIR, Xi’an Jiaotong University.

介绍

多目标追踪 MDP_tracking ,对作者源码进行了大幅度的性能改进,运行速度和内存占用都有巨大的改善,算法的各种评测指标基本保持不变.在全国研究生智慧城市大赛的擂台赛阶段,排名第7,最终获得全国三等奖.

Tracking算法MDP_Tracking

@inproceedings{xiang2015learning,

    Author = {Xiang, Yu and Alahi, Alexandre and Savarese, Silvio},

    Title = {Learning to Track: Online Multi-Object Tracking by Decision Making},

    Booktitle = {International Conference on Computer Vision (ICCV)},

    Year = {2015}

}

运行环境配置

  1. 安装opencv.

  2. 正确配置compile.m中opencv的相关路径,之后运行.

在新的数据集上运行

  1. 正确设置globals.m中的相关变量(包括seq_format, det_dir, test_seqs_name, seq_dir_base, final_results).

    • seq_format: 图片名称格式.

    • det_dir: 检测结果目录.

    • test_seqs_name: 追踪视频的名字.

    • seq_dir_base: 追踪图片的存放目录.

    • final_results: 追踪结果的输出目录.

  2. 运行MDP_debug.m.

Contact

个人主页: https://chenyncv.github.io/

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对作者源码进行了大幅度的性能改进,运行速度和内存占用都有巨大的改善,算法的各种评测指标基本保持不变

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