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Computer Vision Computer Vision Computer Vision Computer Vision Computer Vision Computer Vision Computer Vision

Unique Bicyclist Counting in Tempe City using Semi-supervised Re-identification

Problem

Tracking a bicyclist across multiple images to avoid duplicate counting

Locations where cameras have been deployed in Tempe City

Approach

Classification

Success and Failure cases of Classification

Detection

Success and Failure cases of Detection

Region of Interest(ROI) is too small in second picture, so it's difficult for model to detect.

Unique Counting of Bicyclist by Siamese Network

Triplet Samples

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Tracking Bicyclists in Tempe City with Motion-Sensitive Cameras

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