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 401–425 of 438 papers

Title	Date	Tasks	Status
Exploit the Unknown Gradually: One-Shot Video-Based Person Re-Identification by Stepwise Learning	Jun 1, 2018	One-Shot LearningPedestrian Detection	—Unverified
Exploring Human Vision Driven Features for Pedestrian Detection	Jan 25, 2015	Pedestrian Detection	—Unverified
Exploring Multi-Branch and High-Level Semantic Networks for Improving Pedestrian Detection	Apr 3, 2018	object-detectionObject Detection	—Unverified
Exploring Weak Stabilization for Motion Feature Extraction	Jun 1, 2013	DiagnosticOptical Flow Estimation	—Unverified
Fast keypoint detection in video sequences	Mar 24, 2015	Keypoint DetectionObject Tracking	—Unverified
Fast Multiple-Part Based Object Detection Using KD-Ferns	Jun 1, 2013	CPUHuman Detection	—Unverified
Fast Pedestrian Detection based on T-CENTRIST in infrared image	Feb 17, 2019	Human DetectionPedestrian Detection	—Unverified
Feature Calibration Network for Occluded Pedestrian Detection	Dec 12, 2022	Pedestrian Detection	—Unverified
Filtered Channel Features for Pedestrian Detection	Jan 23, 2015	Optical Flow EstimationPedestrian Detection	—Unverified
Filtered Feature Channels for Pedestrian Detection	Jun 1, 2015	Optical Flow EstimationPedestrian Detection	—Unverified
FisheyeDetNet: 360° Surround view Fisheye Camera based Object Detection System for Autonomous Driving	Apr 20, 2024	ARCAutonomous Driving	—Unverified
Flexible Network Binarization with Layer-wise Priority	Sep 13, 2017	BinarizationPedestrian Detection	—Unverified
Adversarial Infrared Blocks: A Multi-view Black-box Attack to Thermal Infrared Detectors in Physical World	Apr 21, 2023	Autonomous DrivingPedestrian Detection	—Unverified
From Pedestrian Detection to Crosswalk Estimation: An EM Algorithm and Analysis on Diverse Datasets	May 25, 2022	parameter estimationPedestrian Detection	—Unverified
Fused Deep Neural Networks for Efficient Pedestrian Detection	May 2, 2018	Ensemble LearningGeneral Classification	—Unverified
Fused DNN: A deep neural network fusion approach to fast and robust pedestrian detection	Oct 11, 2016	Pedestrian DetectionSemantic Segmentation	—Unverified
Fusion of Multispectral Data Through Illumination-aware Deep Neural Networks for Pedestrian Detection	Feb 27, 2018	Autonomous DrivingMultispectral Object Detection	—Unverified
Gated Multi-layer Convolutional Feature Extraction Network for Robust Pedestrian Detection	Oct 25, 2019	Pedestrian Detection	—Unverified
Generalizable Multi-Camera 3D Pedestrian Detection	Apr 12, 2021	Generalizable Person Re-identificationPedestrian Detection	—Unverified
Generation of Synthetic Images for Pedestrian Detection Using a Sequence of GANs	Jan 14, 2024	Image GenerationPedestrian Detection	—Unverified
GFD-SSD: Gated Fusion Double SSD for Multispectral Pedestrian Detection	Mar 16, 2019	Autonomous DrivingPedestrian Detection	—Unverified
Gliding vertex on the horizontal bounding box for multi-oriented object detection	Nov 21, 2019	Objectobject-detection	—Unverified
Global-Local Dynamic Feature Alignment Network for Person Re-Identification	Sep 13, 2021	Pedestrian DetectionPerson Re-Identification	—Unverified
GMC: A General Framework of Multi-stage Context Learning and Utilization for Visual Detection Tasks	Jul 8, 2024	In-Context Learningobject-detection	—Unverified
GPU-based Pedestrian Detection for Autonomous Driving	Nov 5, 2016	Autonomous DrivingCPU	—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