Manual frame-by-frame masking is the traditional nightmare of video privacy: every camera movement, subject turn, or lighting change requires new keyframes and hours of roto work.
Track and blur moving subjects in video in three steps
Built for video editors, action sports creators, and documentary teams working with dynamic, fast-moving footage.
Upload video with moving subjects
Drop footage containing faces, vehicles, or objects that need blur coverage through motion.
Enable AI tracking
Select faces, vehicles, or custom objects—AI tracks each independently through the timeline.
Scrub and export
Verify tracking accuracy across the timeline, then export with motion-locked blur.
What this example demonstrates
AI motion tracking eliminates 90% of that labor: detect a face, plate, or object once and the system tracks it across time—even through occlusions, lighting changes, and fast motion.
Why teams use this pattern
Use motion-tracked blur for any scenario where subjects won't stand still: sports footage, dashcam recordings, crowd scenes, and handheld documentary work.
Common use cases
Teams reach for this workflow when sports footage with player anonymization; dashcam and action camera recordings; crowd event coverage with moving attendees; documentary street scenes with pedestrian flow. BGBlur automates detection so these scenarios stay publishable without days in a timeline.
Built for Video editors and post-production teams and Action sports creators
Ideal audiences include Video editors and post-production teams, Action sports creators, Documentary filmmakers, Surveillance and security teams. Pair this example with your policy review when footage is sensitive or public-facing.
使用场景
- 运动员匿名的体育影片
- Dashcam和行动相机录音
- 有移动参与者的活动报道
- 有行人流量的纪录片街拍
适用人群
- 录像剪辑与制作后团队
- 动作体育创作者
- 纪录片制片人
- 监督与安全团队
常见问题解答与说明
- AI运动追踪有多准？
- 要让追踪效果最佳，画面照明要稳定、主题要清晰可见；如果是快速移动、遮挡较多或视角特别极端，可能需要做抽查并视情况调整。
- 我可以一次追踪多个物体吗？
- 可以——同一时间对多个面孔、板块或区域套用模糊；每个面孔会在对应时间段内获得独立的追踪。
- 如果追踪找不到目标，会发生什么？
- 审查工具让你可以找出追踪失败的片段，并手动调整或重新初始化相关片段；总是在导出前最后做一次 QC。