SOTAVerified

Pedestrian Detection

Pedestrian detection is the task of detecting pedestrians from a camera.

Further state-of-the-art results (e.g. on the KITTI dataset) can be found at 3D Object Detection.

( Image credit: High-level Semantic Feature Detection: A New Perspective for Pedestrian Detection )

Papers

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Showing 1–10 of 438 papers

TitleStatusHype
YOLO-APD: Enhancing YOLOv8 for Robust Pedestrian Detection on Complex Road Geometries—0
Distance Estimation in Outdoor Driving Environments Using Phase-only Correlation Method with Event Cameras—0
Attention-Aware Multi-View Pedestrian Tracking—0
Panoramic Distortion-Aware Tokenization for Person Detection and Localization Using Transformers in Overhead Fisheye Images—0
Enhanced Multi-View Pedestrian Detection Using Probabilistic Occupancy Volume—0
Adversarial Attacks on Event-Based Pedestrian Detectors: A Physical Approach—0
PFSD: A Multi-Modal Pedestrian-Focus Scene Dataset for Rich Tasks in Semi-Structured EnvironmentsCode0
PedDet: Adaptive Spectral Optimization for Multimodal Pedestrian DetectionCode0
A Privacy Enhancing Technique to Evade Detection by Street Video Cameras Without Using Adversarial Accessories—0
Integrating LLMs with ITS: Recent Advances, Potentials, Challenges, and Future Directions—0
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All datasetsCaltechCityPersonsLLVIPDVTODTJU-Ped-trafficTJU-Ped-campusCVC14Caltech Pedestrian DatasetMMPD-Dataset

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1MMPedestronbox mAP79—Unverified