- This blog elaborates the major technical problems a human detection solution encounters: Viewpoint variation, Pose variation, and occlusion.
- Understand how to use Anchor boxes and multiple feature maps to manage viewpoint variation.
- Learn how to manage the imbalance of variations in the training set for Pose Variation problems.
- Understand how to handle Occlusion problems in general and Non-maximum suppression in particular.
- Check out the VisAI People Platform optimized for the edge & with better privacy options for the people you detect
- Engineer and project managers who are in the evaluation stage for identifying the right People Detection system for their specified product/use-case
There are lots of issues that exist from the detection model.
- Viewpoint variation
- Pose variation
What is an Anchor box?
- If two object’s bounding boxes have Zero IOU (IOU=0), we can say that there is no occlusion.
- If two object’s bounding boxes have One IOU (IOU=1), we can say that another completely occludes one object or thing.
- If two object’s bounding boxes have IOU between 0 and 1 (0 < IOU < 1), then we consider the object is partially occluded, or there might be a complete occlusion if the object is small.
Suppressing based on confidence score is understandable, but what is suppressing based on IoU?
VisAI Platform – Human/People detection Solution
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