PickVidsPREDATOR - Tracker that learns and improves
推荐理由
Very nifty.
说明
这是2011年由Zdenek Kalal发布的一部演示，主题归在Computer vision, speech & NLP。它讲的是computer vision tracking这一支里的具体问题，而不是把整个领域扫一遍。适合已经能看懂基本术语、想继续往下走的人。内容上可以概括成：A demo of PREDATOR (TLD), a real-time object tracker that learns the appearance of its target and improves while it tracks. The technology was later developed commercially.这些读者给出的理由，核心是：HN found it a nifty demo and cites it as a primitive but effective learning tracker that predates modern deep-learning trackers.它贴着当时的技术，看的时候要记得那是那个年份的判断。从2011年到2023年，有1位不同的读者在1个不同月份把它推荐出来，其中明确叫别人去看的有0次。适合先看结果再决定要不要深挖的人。先看它做成了什么。如果已经会了基本定义，就把注意力放在它怎么把computer vision tracking变成能跟着复述的例子。
视频信息
- 频道
- Zdenek Kalal
- 时长
- 4 分 12 秒
- 发布年份
- 2011
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