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 126–150 of 438 papers

Title	Date	Tasks	Status	Score
Illuminating Pedestrians via Simultaneous Detection & Segmentation	Jun 26, 2017	Autonomous DrivingPedestrian Detection	CodeCode Available	5
Learning Scene-Pedestrian Graph for End to end Person Search	Aug 9, 2023	Graph MatchingPedestrian Detection	CodeCode Available	5
MVUDA: Unsupervised Domain Adaptation for Multi-view Pedestrian Detection	Dec 5, 2024	Domain AdaptationPedestrian Detection	CodeCode Available	5
Efficient pedestrian detection by directly optimize the partial area under the ROC curve	Oct 3, 2013	Ensemble Learningobject-detection	—Unverified	0
Efficient Learning of Pinball TWSVM using Privileged Information and its applications	Jul 14, 2021	BIG-bench Machine LearningHandwritten Digit Recognition	—Unverified	0
Box Re-Ranking: Unsupervised False Positive Suppression for Domain Adaptive Pedestrian Detection	Feb 1, 2021	object-detectionObject Detection	—Unverified	0
Efficient and Robust Pedestrian Detection using Deep Learning for Human-Aware Navigation	Jul 15, 2016	Human DetectionPedestrian Detection	—Unverified	0
Box-level Segmentation Supervised Deep Neural Networks for Accurate and Real-time Multispectral Pedestrian Detection	Feb 14, 2019	Autonomous DrivingComputational Efficiency	—Unverified	0
An Objective Method for Pedestrian Occlusion Level Classification	May 11, 2022	Autonomous VehiclesClassification	—Unverified	0
EdgeNet: Balancing Accuracy and Performance for Edge-based Convolutional Neural Network Object Detectors	Nov 14, 2019	object-detectionObject Detection	—Unverified	0
Dynamic Error-bounded Lossy Compression (EBLC) to Reduce the Bandwidth Requirement for Real-time Vision-based Pedestrian Safety Applications	Jan 29, 2020	Pedestrian DetectionVideo Compression	—Unverified	0
DMRNet++: Learning Discriminative Features with Decoupled Networks and Enriched Pairs for One-Step Person Search	Nov 10, 2022	Pedestrian DetectionPerson Re-Identification	—Unverified	0
Boosting-like Deep Learning For Pedestrian Detection	May 26, 2015	Deep LearningPedestrian Detection	—Unverified	0
An FPGA-Accelerated Design for Deep Learning Pedestrian Detection in Self-Driving Vehicles	Sep 16, 2018	object-detectionObject Detection	—Unverified	0
Adversarial Attacks on Event-Based Pedestrian Detectors: A Physical Approach	Mar 1, 2025	Pedestrian Detection	—Unverified	0
Distant Pedestrian Detection in the Wild using Single Shot Detector with Deep Convolutional Generative Adversarial Networks	May 29, 2019	object-detectionObject Detection	—Unverified	0
Distance Estimation in Outdoor Driving Environments Using Phase-only Correlation Method with Event Cameras	May 23, 2025	Autonomous DrivingPedestrian Detection	—Unverified	0
Discriminative Feature Transformation for Occluded Pedestrian Detection	Oct 1, 2019	Pedestrian Detection	—Unverified	0
Booster-SHOT: Boosting Stacked Homography Transformations for Multiview Pedestrian Detection with Attention	Aug 19, 2022	Multiview DetectionPedestrian Detection	—Unverified	0
DINF: Dynamic Instance Noise Filter for Occluded Pedestrian Detection	Jan 13, 2023	DenoisingPedestrian Detection	—Unverified	0
Diffusion Dataset Generation: Towards Closing the Sim2Real Gap for Pedestrian Detection	May 16, 2023	Dataset GenerationPedestrian Detection	—Unverified	0
Detector With Focus: Normalizing Gradient In Image Pyramid	Sep 5, 2019	object-detectionObject Detection	—Unverified	0
Birds Eye View Social Distancing Analysis System	Dec 14, 2021	object-detectionObject Detection	—Unverified	0
An End-to-End Framework for Unsupervised Pose Estimation of Occluded Pedestrians	Feb 15, 2020	Domain AdaptationInstance Segmentation	—Unverified	0
Adaptive NMS: Refining Pedestrian Detection in a Crowd	Apr 7, 2019	Object DetectionPedestrian Detection	—Unverified	0

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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