OpenCV 从俯视角度跟踪人物

发布于 2024-12-07 22:02:17 字数 246 浏览 0 评论 0原文

我有一个广泛但有趣的 OpenCV 问题,我想知道从哪里开始。 我正在寻找任何可能有帮助的策略或白皮书。

我需要从固定的俯视图中获取坐在会议桌旁的人员的位置。理想情况下,我将为每个人分配一个持久的 ID,并维护一个包含 ID 和坐标的人员列表。在特定情况下,这个问题可能很容易 - 例如,如果为单个会议室桌子设计 - 但在一般情况下它会变得更困难,特别是当人们进入和离开场景时。

我的第一个问题:这是检测问题还是运动跟踪问题?或者两者的某种组合?

I have a broad but interesting OpenCV question and I'm wondering where to start.
I am looking for any strategies or white papers that might help.

I need to get the position of people sitting at a conference table from a fixed overhead view. Ideally, I will assign a persistent ID to each person, and maintain a list of people with ID and coordinates. This problem could be easy in a specific case - for example, if designed for a single conference room table - but it gets harder in the general case, especially with people entering and leaving the scene.

My first question: is it a detection or a motion tracking problem? Or some combination of the two?

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多情癖 2024-12-14 22:02:17

嗯,对我来说两者都是。我认为你需要对成为背景的可见区域进行长平均值。然后根据您的背景信息,您可以跟踪其他物体的移动。

如果物体合并在一起(至少就相机而言)然后再次分离,分配 ID 可能会变得困难,例如有人摘下帽子,将其放下并重新戴上。

但考虑到这一切,即使它提出了挑战,也是可能的。我曾经看到一个类似的项目使用类似的方法跟踪火车站中的人员(这是在一个讲座中,所以我无法提供链接,抱歉)

Well it seems like both to me. I would think you would need to take a long average of the visible area which becomes the background. Then based on your background information you can track movement of other objects.

Assigning an ID may become difficult if objects merge together (at least as far as the camera is concerned) and then separate again, say someone removing a hat placing it down and placing it back on.

But all that in mind it is possible even if it presents a challenge. I once saw a similar project tracking people in a train station using a similar approach (it was in a lecture so I can't provide a link sorry)

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