VisDrone-SOT2019: The Vision Meets Drone Single Object Tracking Challenge Results.
Dawei DuYue ZhangLiefeng BoHailin ShiRui ZhuBo HanChunhui ZhangGuizhong LiuHan WuHao WenHaoran WangPengfei ZhuJiaqing FanJie ChenJie GaoJie ZhangJinghao ZhouJinliu ZhouJinwang WangJiuqing WanJosef KittlerKaihua ZhangLongyin WenKaiqi HuangKang YangKangkai ZhangLianghua HuangLijun ZhouLingling ShiLu DingNing WangPeng WangQintao HuXiao BianRobert LaganièreRuiyan MaRuohan ZhangShanrong ZouShengwei ZhaoShengyang LiShengyin ZhuShikun LiShiming GeShiyu XuanHaibin LingTianyang XuTing HeWei ShiWei SongWeiming HuWenhua ZhangWenjun ZhuXi YuXianhai WangXiaojun WuQinghua HuXiaotong LiXiaoxue LiXiaoyue YinXin ZhangXin ZhaoXizhe XueXu LeiXueyuan YangYanjie GaoYanyun ZhaoJiayu ZhengYinda XuYing LiYong WangYong YangYuting YangYuxuan LiZeyu WangZhen-Hua FengZhipeng ZhangZhiyong YuTao PengZhizhao DuanZhuojin SunXinyao WangPublished in: ICCV Workshops (2019)
Keyphrases
- object tracking
- computer vision
- mean shift
- video sequences
- particle filter
- appearance model
- image sequences
- kalman filter
- moving objects
- video surveillance
- robust object tracking
- multiple object tracking
- partial occlusion
- occlusion handling
- data association
- scene segmentation
- particle filtering
- multiple cameras
- multi camera
- visual tracking
- appearance modeling
- video surveillance systems
- sparse representation
- tracking objects
- tracking accuracy
- pattern recognition
- training set
- pose estimation