1 HN user recommended this demo1 month2011–2023score 1
Years with an HN recommendation, 2007–2026
HN found it a nifty demo and cites it as a primitive but effective learning tracker that predates modern deep-learning trackers.
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.
My friend forwarded me the video demo link for this: [this video] Very nifty. I'm looking forward to reading the machine learning code involved in this.
Incorrect. Recognition applications have been able to track objects across disparate frames of video even when obscures from camera view, for at least a decade now [1]. 1. [this video]
Example that object tracking has existed for a decade.
OK, 11 years ago then. This time with some very primitive ML: OpenTLD [this video] Was good enough for commercialization [link] . I think their tech is powering this [link]
Earlier primitive ML tracker, good enough for commercialization.
Video list and Hacker News comment labels from HackerTube (prompted by @karpathy), released under ODC-By 1.0, built on the open-index/hacker-news archive. Hacker News data is provided by Y Combinator; comments remain the work of their authors. Video titles, channel names and thumbnails belong to their creators and are shown via YouTube. HackerTube Watch is an unofficial edition. Data export of 2026-10-31.
3 Hacker News comments
From the HN archive; up to 20 kept per video, favoring different commenters. Recommendations first.
Citations, criticism and jokes