Detecting and counting tiny faces
arXiv:1801.06504v210 citations
AI Analysis
This work addresses the challenge of accurate crowd counting in real-world scenarios, but it is incremental as it builds upon prior research without introducing major innovations.
The paper tackled the problem of detecting and counting small faces in images, specifically for counting people in public demonstrations, by extending an existing method for tiny object detection.
Finding Tiny Faces (by Hu and Ramanan) proposes a novel approach to find small objects in an image. Our contribution consists in deeply understanding the choices of the paper together with applying and extending a similar method to a real world subject which is the counting of people in a public demonstration.