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 351–375 of 438 papers

Title	Date	Tasks	Status
Birds Eye View Social Distancing Analysis System	Dec 14, 2021	object-detectionObject Detection	—Unverified
Booster-SHOT: Boosting Stacked Homography Transformations for Multiview Pedestrian Detection with Attention	Aug 19, 2022	Multiview DetectionPedestrian Detection	—Unverified
Boosting-like Deep Learning For Pedestrian Detection	May 26, 2015	Deep LearningPedestrian Detection	—Unverified
Box-level Segmentation Supervised Deep Neural Networks for Accurate and Real-time Multispectral Pedestrian Detection	Feb 14, 2019	Autonomous DrivingComputational Efficiency	—Unverified
Box Re-Ranking: Unsupervised False Positive Suppression for Domain Adaptive Pedestrian Detection	Feb 1, 2021	object-detectionObject Detection	—Unverified
Bright Channel Prior Attention for Multispectral Pedestrian Detection	May 22, 2023	Image Enhancementobject-detection	—Unverified
CAFF-DINO: Multi-spectral object detection transformers with cross-attention features fusion	Sep 27, 2024	Multispectral Object DetectionObject	—Unverified
Cascaded information enhancement and cross-modal attention feature fusion for multispectral pedestrian detection	Feb 17, 2023	Pedestrian Detection	—Unverified
CDPM: Convolutional Deformable Part Models for Semantically Aligned Person Re-identification	Jun 12, 2019	Multi-Task LearningPedestrian Detection	—Unverified
CHAMP: Crowdsourced, History-Based Advisory of Mapped Pedestrians for Safer Driver Assistance Systems	Jan 14, 2023	Pedestrian Detection	—Unverified
Characterisation of CMOS Image Sensor Performance in Low Light Automotive Applications	Nov 24, 2020	Pedestrian Detection	—Unverified
CircleNet: Reciprocating Feature Adaptation for Robust Pedestrian Detection	Dec 12, 2022	object-detectionObject Detection	—Unverified
Combining LiDAR Space Clustering and Convolutional Neural Networks for Pedestrian Detection	Oct 17, 2017	Autonomous VehiclesClustering	—Unverified
Comparative study of multi-person tracking methods	Oct 7, 2023	Pedestrian Detection	—Unverified
Comparing Apples and Oranges: Off-Road Pedestrian Detection on the NREC Agricultural Person-Detection Dataset	Jul 22, 2017	Human DetectionPedestrian Detection	—Unverified
Comparing Computing Platforms for Deep Learning on a Humanoid Robot	Sep 11, 2018	BenchmarkingCPU	—Unverified
Computer vision in automated parking systems: Design, implementation and challenges	Apr 26, 2021	3D ReconstructionAutonomous Driving	—Unverified
Confidence-Rated Multiple Instance Boosting for Object Detection	Jun 1, 2014	Multiple Instance LearningObject	—Unverified
Constraint-Aware Deep Neural Network Compression	Sep 1, 2018	Bayesian OptimizationNeural Network Compression	—Unverified
Context-Sensitive Decision Forests for Object Detection	Dec 1, 2012	General ClassificationObject	—Unverified
Convolutional Neural Networks for Aerial Multi-Label Pedestrian Detection	Jul 16, 2018	Action DetectionObject	—Unverified
Coupled Network for Robust Pedestrian Detection with Gated Multi-Layer Feature Extraction and Deformable Occlusion Handling	Dec 18, 2019	Occlusion HandlingPedestrian Detection	—Unverified
Cross-Modal Analysis of Human Detection for Robotics: An Industrial Case Study	Aug 3, 2021	Autonomous DrivingHuman Detection	—Unverified
Cross-Modality Proposal-guided Feature Mining for Unregistered RGB-Thermal Pedestrian Detection	Aug 23, 2023	Data AugmentationPedestrian Detection	—Unverified
Data Augmentation in Human-Centric Vision	Mar 13, 2024	Data AugmentationHuman Parsing	—Unverified

Show:10 25 50

← PrevPage 15 of 18Next →

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	YOLOv3 (Thermal)	mAP	82.7	—	Unverified
3	CFT	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