HIGHLIGHTS
- who: Pooling Vehicle Detection and colleagues from the of Computer Science, Air University, Islamabad, Pakistan POBox, Riyadh, Saudi Arabia have published the paper: Smart Traffic Monitoring through Pyramid Pooling Vehicle Detection and Filter-based Tracking on Aerial Images, in the Journal: (JOURNAL)
- what: The work has proposed a novel idea of first segmenting the image, then detecting the vehicle and classifying it into various categories for effective traffic management. The authors aim to introduce a robust vehicle detection and classification framework that requires limited training data and computational power.
- how: For faster information . . .
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