Multiview Detection
12 papers with code • 3 benchmarks • 7 datasets
Incorporating multiple camera views for detection in heavily occluded scenarios.
Benchmarks
These leaderboards are used to track progress in Multiview Detection
| Trend | Dataset | Best Model | Paper | Code | Compare |
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Wildtrack
MultiviewX
Home Action Genome
RailEye3D Dataset
GMVD
DOLPHINS
MultiviewC
Most implemented papers
Multiview Detection with Feature Perspective Transformation
First, how should we aggregate cues from the multiple views?
Deep Occlusion Reasoning for Multi-Camera Multi-Target Detection
People detection in single 2D images has improved greatly in recent years.
RGB-D Railway Platform Monitoring and Scene Understanding for Enhanced Passenger Safety
Automated monitoring and analysis of passenger movement in safety-critical parts of transport infrastructures represent a relevant visual surveillance task.
Multiview Detection with Shadow Transformer (and View-Coherent Data Augmentation)
hou-yz/mvdetr
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Multiview detection incorporates multiple camera views to deal with occlusions, and its central problem is multiview aggregation.
MVM3Det: A Novel Method for Multi-view Monocular 3D Detection
drl-casia/mvm3d
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In this paper, we propose a novel multi-view 3D object detection method named MVM3Det which simultaneously estimates the 3D position and orientation of the object according to the multi-view monocular information.
Bringing Generalization to Deep Multi-View Pedestrian Detection
Multi-view Detection (MVD) is highly effective for occlusion reasoning in a crowded environment.
Voxelized 3D Feature Aggregation for Multiview Detection
However, we find that these 2D transformations do not take into account the object's height, and with this neglection features along the vertical direction of same object are likely not projected onto the same ground plane point, leading to impure ground-plane features.
Multiview Detection with Cardboard Human Modeling
In this paper, we propose a new pedestrian representation scheme based on human point clouds modeling.
3D Random Occlusion and Multi-Layer Projection for Deep Multi-Camera Pedestrian Localization
Although deep-learning based methods for monocular pedestrian detection have made great progress, they are still vulnerable to heavy occlusions.
Multi-view Tracking Using Weakly Supervised Human Motion Prediction
Multi-view approaches to people-tracking have the potential to better handle occlusions than single-view ones in crowded scenes.
