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[D] How do object detection algorithms and feature extractor networks work together for action detection?

I’m talking about architectures such as AlexNet, Inception and object detectors like YOLO, SSD. I’ve read a bit online and I’m really confused how they work together.
Lets say I want to detect a specific object/person from a video and put a box around them with a label describing the state of that object/person. How would that work? What would be steps taken by the object detector and feature extractor? A workflow for this would be really helpful.

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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.