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 401–438 of 438 papers

Title	Date	Tasks	Status
Learning Cross-Modal Deep Representations for Robust Pedestrian Detection	Apr 8, 2017	Pedestrian Detection	CodeCode Available
Robustness Analysis of Pedestrian Detectors for Surveillance	Jul 12, 2018	Pedestrian Detection	CodeCode Available
Pedestrian Behavior Maps for Safety Advisories: CHAMP Framework and Real-World Data Analysis	May 8, 2023	Pedestrian Detection	CodeCode Available
CADP: A Novel Dataset for CCTV Traffic Camera based Accident Analysis	Sep 16, 2018	Objectobject-detection	CodeCode Available
MOTChallenge 2015: Towards a Benchmark for Multi-Target Tracking	Apr 8, 2015	3D ReconstructionMultiple Object Tracking	CodeCode Available
Joint Detection and Identification Feature Learning for Person Search	Apr 7, 2016	Pedestrian DetectionPerson Re-Identification	CodeCode Available
Automatic adaptation of object detectors to new domains using self-training	Apr 15, 2019	Domain AdaptationKnowledge Distillation	CodeCode Available
Deep convolutional neural networks for pedestrian detection	Oct 13, 2015	image-classificationImage Classification	CodeCode Available
Convolutional Channel Features	Apr 28, 2015	Edge DetectionFace Detection	CodeCode Available
Input Dropout for Spatially Aligned Modalities	Feb 7, 2020	Object TrackingPedestrian Detection	CodeCode Available
Accurate Single Stage Detector Using Recurrent Rolling Convolution	Apr 19, 2017	3D Object DetectionObject	CodeCode Available
Forecasting Pedestrian Trajectory with Machine-Annotated Training Data	May 9, 2019	Autonomous VehiclesPedestrian Detection	CodeCode Available
Integrating Language-Derived Appearance Elements with Visual Cues in Pedestrian Detection	Nov 2, 2023	Pedestrian Detection	CodeCode Available
An Energy-Aware Approach to Design Self-Adaptive AI-based Applications on the Edge	Aug 31, 2023	Heuristic Searchobject-detection	CodeCode Available
Multispectral Pedestrian Detection via Simultaneous Detection and Segmentation	Aug 14, 2018	Autonomous DrivingMultispectral Object Detection	CodeCode Available
Improved Instance Discrimination and Feature Compactness for End-to-End Person Search	May 21, 2021	Pedestrian DetectionPerson Re-Identification	CodeCode Available
Illuminating Pedestrians via Simultaneous Detection & Segmentation	Jun 26, 2017	Autonomous DrivingPedestrian Detection	CodeCode Available
High-Level Semantic Feature Detection: A New Perspective for Pedestrian Detection	Jun 1, 2019	object-detectionObject Detection	CodeCode Available
Pedestrian Detection in Thermal Images using Saliency Maps	Apr 15, 2019	Pedestrian DetectionRGB Salient Object Detection	CodeCode Available
Towards Pedestrian Detection Using RetinaNet in ECCV 2018 Wider Pedestrian Detection Challenge	Feb 4, 2019	General Classificationimage-classification	CodeCode Available
MVUDA: Unsupervised Domain Adaptation for Multi-view Pedestrian Detection	Dec 5, 2024	Domain AdaptationPedestrian Detection	CodeCode Available
Pedestrian Detection with Autoregressive Network Phases	Dec 2, 2018	DecoderPedestrian Detection	CodeCode Available
Continual Learning for Out-of-Distribution Pedestrian Detection	Jun 26, 2023	Continual Learningobject-detection	CodeCode Available
Analysis of pedestrian activity before and during COVID-19 lockdown, using webcam time-lapse from Cracow and machine learning	Oct 5, 2020	Pedestrian Detection	CodeCode Available
Generative Modeling for Small-Data Object Detection	Oct 16, 2019	Objectobject-detection	CodeCode Available
Scene-Specific Pedestrian Detection Based on Parallel Vision	Dec 23, 2017	object-detectionObject Detection	CodeCode Available
Expecting the Unexpected: Training Detectors for Unusual Pedestrians with Adversarial Imposters	Mar 18, 2017	Autonomous VehiclesPedestrian Detection	CodeCode Available
A Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection	Jul 25, 2016	Face DetectionFeature Upsampling	CodeCode Available
Attribute-aware Pedestrian Detection in a Crowd	Oct 21, 2019	AttributePedestrian Detection	CodeCode Available
Object Detection in 20 Years: A Survey	May 13, 2019	Face DetectionObject	CodeCode Available
Pedestrian-Synthesis-GAN: Generating Pedestrian Data in Real Scene and Beyond	Apr 5, 2018	Generative Adversarial NetworkPedestrian Detection	CodeCode Available
Repulsion Loss: Detecting Pedestrians in a Crowd	Nov 21, 2017	Pedestrian Detectionregression	CodeCode Available
Confidence-aware Fusion using Dempster-Shafer Theory for Multispectral Pedestrian Detection	Mar 21, 2022	Multispectral Object DetectionPedestrian Detection	CodeCode Available
Decoupled and Memory-Reinforced Networks: Towards Effective Feature Learning for One-Step Person Search	Feb 22, 2021	Metric LearningMulti-Task Learning	CodeCode Available
Disparity Sliding Window: Object Proposals From Disparity Images	May 17, 2018	Objectobject-detection	CodeCode Available
The Impact of Partial Occlusion on Pedestrian Detectability	May 10, 2022	Autonomous VehiclesPedestrian Detection	CodeCode Available
Rethinking Cross-Domain Pedestrian Detection: A Background-Focused Distribution Alignment Framework for Instance-Free One-Stage Detectors	Sep 15, 2023	Pedestrian Detection	CodeCode Available
PFSD: A Multi-Modal Pedestrian-Focus Scene Dataset for Rich Tasks in Semi-Structured Environments	Feb 21, 2025	AttributeAutonomous Driving	CodeCode Available

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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	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