Multi-level structured hybrid forest for joint head detection and pose estimation
Sign Up to like & getrecommendations! Published in 2017 at "Neurocomputing"
DOI: 10.1016/j.neucom.2017.05.033
Abstract: Abstract In real-world applications, factors such as illumination variation, occlusion, and poor image quality, etc. make head detection and pose estimation much more challenging. In this paper, we propose a multi-level structured hybrid forest (MSHF)… read more here.
Keywords: head; estimation; pose estimation; multi level ... See more keywords
Enhanced Wheat Head Detection in Images Using Fourier Domain Adaptation and Random Guided Filter
Sign Up to like & getrecommendations! Published in 2024 at "Canadian Journal of Remote Sensing"
DOI: 10.1080/07038992.2024.2367479
Abstract: Abstract Wheat head detection is essential in estimating the important characteristics of wheat. However, detecting wheat heads in images from different domains has been challenging due to variations in domain features and environmental conditions. This… read more here.
Keywords: image; domain; wheat head; head detection ... See more keywords
Sâ‚‚Head: Small-Scale Human Head Detection Algorithm by Improved YOLOv8n Architecture
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3596785
Abstract: Analyzing crowd density and distribution through human head detection in surveillance footage is crucial for intelligent public safety management. Existing head detection algorithms face challenges in accurately detecting small and densely packed head targets, resulting… read more here.
Keywords: detection; human head; small scale; head ... See more keywords
An image analysis technique for wheat head count detection using machine learning
Sign Up to like & getrecommendations! Published in 2024 at "Bulletin of Electrical Engineering and Informatics"
DOI: 10.11591/eei.v13i5.7255
Abstract: Deep learning (DL) techniques have significantly enhanced the potential for wheat head detection in recent times. The different development phases of canopy, genotype, wheat heads, and wheat head orientation provide considerable obstacles. The overlapping density… read more here.
Keywords: wheat; analysis; wheat head; head detection ... See more keywords
Wheat Head Detection in Field Environments Based on an Improved YOLOv11 Model
Sign Up to like & getrecommendations! Published in 2025 at "Agriculture"
DOI: 10.3390/agriculture15161765
Abstract: Precise wheat head detection is essential for plant counting and yield estimation in precision agriculture. To tackle the difficulties arising from densely packed wheat heads with diverse scales and intricate occlusions in real-world field conditions,… read more here.
Keywords: field; wheat; model; wheat head ... See more keywords
Single-Shot Global and Local Context Refinement Neural Network for Head Detection
Sign Up to like & getrecommendations! Published in 2022 at "Future Internet"
DOI: 10.3390/fi14120384
Abstract: Head detection is a fundamental task, and it plays an important role in many head-related problems. The difficulty in creating the local and global context in the face of significant lighting, orientation, and occlusion uncertainty,… read more here.
Keywords: context refinement; head detection; context; local context ... See more keywords
Towards Resilient Agriculture: A Novel UAV-Based Lightweight Deep Learning Framework for Wheat Head Detection
Sign Up to like & getrecommendations! Published in 2025 at "Mathematics"
DOI: 10.3390/math13233844
Abstract: Precision agriculture increasingly relies on unmanned aerial vehicle (UAV) imagery for high-throughput crop phenotyping, yet existing deep learning detection models face critical constraints limiting practical deployment: computational demands incompatible with edge computing platforms and insufficient… read more here.
Keywords: detection; deep learning; wheat head; head ... See more keywords