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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 176–200 of 438 papers

Title	Date	Tasks	Status
Increasing pedestrian detection performance through weighting of detection impairing factors	Dec 8, 2022	object-detectionObject Detection	—Unverified
VeriCompress: A Tool to Streamline the Synthesis of Verified Robust Compressed Neural Networks from Scratch	Nov 17, 2022	Pedestrian Detection	—Unverified
DMRNet++: Learning Discriminative Features with Decoupled Networks and Enriched Pairs for One-Step Person Search	Nov 10, 2022	Pedestrian DetectionPerson Re-Identification	—Unverified
Beta R-CNN: Looking into Pedestrian Detection from Another Perspective	Oct 23, 2022	Pedestrian Detection	—Unverified
A Robust Pedestrian Detection Approach for Autonomous Vehicles	Oct 19, 2022	Autonomous VehiclesPedestrian Detection	—Unverified
Translation, Scale and Rotation: Cross-Modal Alignment Meets RGB-Infrared Vehicle Detection	Sep 28, 2022	2D Object Detectioncross-modal alignment	—Unverified
Application of image-to-image translation in improving pedestrian detection	Sep 8, 2022	Image-to-Image TranslationPedestrian Detection	—Unverified
Booster-SHOT: Boosting Stacked Homography Transformations for Multiview Pedestrian Detection with Attention	Aug 19, 2022	Multiview DetectionPedestrian Detection	—Unverified
Adaptive Feature Fusion for Cooperative Perception using LiDAR Point Clouds	Jul 30, 2022	Domain Adaptationfeature selection	—Unverified
Deep Multi-Task Networks For Occluded Pedestrian Pose Estimation	Jun 15, 2022	Domain AdaptationInstance Segmentation	—Unverified
Physically-admissible polarimetric data augmentation for road-scene analysis	Jun 15, 2022	Data Augmentationobject-detection	—Unverified
From Pedestrian Detection to Crosswalk Estimation: An EM Algorithm and Analysis on Diverse Datasets	May 25, 2022	parameter estimationPedestrian Detection	—Unverified
An Objective Method for Pedestrian Occlusion Level Classification	May 11, 2022	Autonomous VehiclesClassification	—Unverified
The Impact of Partial Occlusion on Pedestrian Detectability	May 10, 2022	Autonomous VehiclesPedestrian Detection	CodeCode Available
Understanding the Impact of Edge Cases from Occluded Pedestrians for ML Systems	Apr 26, 2022	Body Detectionobject-detection	—Unverified
Real-time HOG+SVM based object detection using SoC FPGA for a UHD video stream	Apr 22, 2022	4kobject-detection	—Unverified
Confidence-aware Fusion using Dempster-Shafer Theory for Multispectral Pedestrian Detection	Mar 21, 2022	Multispectral Object DetectionPedestrian Detection	CodeCode Available
DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection	Mar 15, 2022	3D Object DetectionAutonomous Driving	—Unverified
A-Eye: Driving with the Eyes of AI for Corner Case Generation	Feb 22, 2022	Pedestrian DetectionReal-Time Semantic Segmentation	—Unverified
End-to-end Person Search Sequentially Trained on Aggregated Dataset	Jan 24, 2022	Pedestrian DetectionPerson Search	—Unverified
A Study on Mitigating Hard Boundaries of Decision-Tree-based Uncertainty Estimates for AI Models	Jan 10, 2022	Pedestrian Detection	—Unverified
Birds Eye View Social Distancing Analysis System	Dec 14, 2021	object-detectionObject Detection	—Unverified
Embracing Single Stride 3D Object Detector with Sparse Transformer	Dec 13, 2021	3D Object DetectionAutonomous Driving	—Unverified
Illumination and Temperature-Aware Multispectral Networks for Edge-Computing-Enabled Pedestrian Detection	Dec 9, 2021	Edge-computingGPU	—Unverified
BAANet: Learning Bi-directional Adaptive Attention Gates for Multispectral Pedestrian Detection	Dec 4, 2021	Pedestrian DetectionSpecificity	—Unverified

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All datasets Caltech CityPersons LLVIP DVTOD TJU-Ped-traffic TJU-Ped-campus CVC14 Caltech Pedestrian Dataset MMPD-Dataset

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	UniHCP (FT)	Heavy MR^-2	27.2	—	Unverified
2	LDCF	Reasonable Miss Rate	24.8	—	Unverified
3	AlexNet	Reasonable Miss Rate	23.3	—	Unverified
4	TA-CNN	Reasonable Miss Rate	20.9	—	Unverified
5	Checkerboards+	Reasonable Miss Rate	17.1	—	Unverified
6	NNNF	Reasonable Miss Rate	16.2	—	Unverified
7	Part-level CNN + saliency and bounding box alignment	Reasonable Miss Rate	12.4	—	Unverified
8	CompACT-Deep	Reasonable Miss Rate	11.75	—	Unverified
9	MCF	Reasonable Miss Rate	10.4	—	Unverified
10	MS-CNN	Reasonable Miss Rate	9.95	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ACSP + EuroCity Persons	Heavy MR^-2	42.5	—	Unverified
2	TLL	Reasonable MR^-2	15.5	—	Unverified
3	FRCNN	Reasonable MR^-2	15.4	—	Unverified
4	FRCNN+Seg	Reasonable MR^-2	14.8	—	Unverified
5	TLL+MRF	Reasonable MR^-2	14.4	—	Unverified
6	RepLoss	Reasonable MR^-2	13.2	—	Unverified
7	OR-CNN	Reasonable MR^-2	12.8	—	Unverified
8	ALFNet	Reasonable MR^-2	12	—	Unverified
9	CSP (with offset) + ResNet-50	Reasonable MR^-2	11	—	Unverified
10	NOH-NMS	Reasonable MR^-2	10.8	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	INSANet	log average miss rate	4.43	—	Unverified
2	MMPedestron	AP	0.73	—	Unverified
3	CAFF-DINO	AP	0.69	—	Unverified
4	CFT	AP	0.64	—	Unverified
5	UniRGB-IR	AP	0.63	—	Unverified
6	RSDet	AP	0.61	—	Unverified
7	CMX	AP	0.6	—	Unverified
8	CSSA	AP	0.59	—	Unverified
9	GAFF	AP	0.56	—	Unverified
10	Halfway Fusion	AP	0.55	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	YOLOv6 (Thermal)	mAP	84.4	—	Unverified
2	CFT	mAP	82.7	—	Unverified
3	YOLOv3 (Thermal)	mAP	82.7	—	Unverified
4	CMX	mAP	81.6	—	Unverified
5	YOLOv7 (Thermal)	mAP	77.8	—	Unverified
6	YOLOv6 (Visible)	mAP	38.1	—	Unverified
7	YOLOv7 (Visible)	mAP	35.3	—	Unverified
8	YOLOv3 (Visible)	mAP	34.5	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	FCOS	R (miss rate)	24.35	—	Unverified
2	RetinaNet	R (miss rate)	23.89	—	Unverified
3	FPN	R (miss rate)	22.3	—	Unverified
4	CrowdDet	R (miss rate)	20.82	—	Unverified
5	EGCL	R (miss rate)	19.73	—	Unverified
6	LSFM	R (miss rate)	18.7	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	RetinaNet	R (miss rate)	34.73	—	Unverified
2	FCOS	R (miss rate)	31.89	—	Unverified
3	CrowdDet	R (miss rate)	25.73	—	Unverified
4	EGCL	R (miss rate)	24.84	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CFT	AP50	78.2	—	Unverified
2	CMX	AP50	68.9	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	LSFM	MR	0.87	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MMPedestron	box mAP	79	—	Unverified