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handai-detector
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add usage for our custom trained model 		5 years ago
.vscode Initial commit 5 years ago
examples add usage for our custom trained model 5 years ago
README.md Initial commit 5 years ago
pip.txt Initial commit 5 years ago

README.md

Handai aerial detector

We need to analyze road users in mid-block crossing area between Handai monorail station and handai hospital.

Output we need

  • What, when and where are road users
  • focus on
    • pedestrain
      • with walking poles - STILL UNSURE if it's possible to detect
    • handicap (with wheelchair)
    • car
    • bus
    • cyclist

How?

  • I'm still debating if I should use YOLO or SSD for the run.

Challenge?

Object tracking algorithm from both opencv and dlib are pretty much the same. Good tracking capability, but they would lose track when there is a building or even a small pillar blocking the sight. Thus, we need to detect them all separately on each zone and find a way to link "object" that comes to the blocking zone and get through it the other way. I guess this should be able to get all the trace we need and connecting them all together. Yes, when there are tons of objects overlapping, things would get much tougher. But that is the issue for the other day.