Automatic Counting of Planting Microsites via Local Visual Detection and Global Count Estimation
Author:
Affiliation:
1. Data Science Laboratory, University of Québec, Montréal, QC, Canada
2. Concordia Institute for Information Systems Engineering, Concordia University, Montréal, QC, Canada
Funder
Natural Sciences and Engineering Research Council of Canada
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Artificial Intelligence,Computational Mathematics,Control and Optimization,Computer Science Applications
Link
http://xplorestaging.ieee.org/ielx7/7433297/10325841/10123355.pdf?arnumber=10123355
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1. Detection and Tracking of Multiple, Partially Occluded Humans by Bayesian Combination of Edgelet based Part Detectors
2. CASA-Crowd: A Context-Aware Scale Aggregation CNN-Based Crowd Counting Technique
3. Robust Real-Time Face Detection
4. Aggregating local descriptors into a compact image representation
5. Pedestrian Detection in Crowded Scenes
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