An Exploration of Why and When Pedestrian Detection Fails
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- Type
- article
- Published
- 2015-09-15
- Cited by
- 15
- References
- 19
- OpenAlex
- https://openalex.org/W1915068405
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:16086913
Keywords
Pedestrian detection, Metric (unit), Pedestrian, Computer science, Field (mathematics)
References
- Can appearance patterns improve pedestrian detection?
- Pedestrian Detection with Spatially Pooled Features and Structured Ensemble Learning
- Data-driven 3D Voxel Patterns for object category recognition
- Attention estimation by simultaneous analysis of viewer and view
- Taking a deeper look at pedestrians
- Pedestrian Detection: An Evaluation of the State of the Art
- Filtered channel features for pedestrian detection
- Learning to Detect Vehicles by Clustering Appearance Patterns
- Fast Feature Pyramids for Object Detection
- Fast and Robust Object Detection Using Visual Subcategories
- On Color-, Infrared-, and Multimodal-Stereo Approaches to Pedestrian Detection
- On surveillance for safety critical events: In-vehicle video networks for predictive driver assistance systems
- Are we ready for autonomous driving? The KITTI vision benchmark suite
- Integral Channel Features
- Local Decorrelation For Improved Pedestrian Detection
- Ten Years of Pedestrian Detection, What Have We Learned?
- Part-Based Pedestrian Detection and Feature-Based Tracking for Driver Assistance: Real-Time, Robust Algorithms, and Evaluation
- The Benefits of Dense Stereo for Pedestrian Detection
- Ieee Transactions on Intelligent Transportation Systems the Benefits of Dense Stereo for Pedestrian Detection
- This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS 1 Part-Based Pedestrian Detection and Feature-Based Tr
Cited by
- Looking at Pedestrians at Different Scales: A Multiresolution Approach and Evaluations
- Detection of pedestrians at far distance
- Are all objects equal? Deep spatio-temporal importance prediction in driving videos
- RefineNet: Iterative refinement for accurate object localization
- A study of vehicle detector generalization on U.S. highway
- To boost or not to boost? On the limits of boosted trees for object detection
- Detection and Orientation Estimation for Cyclists by Max Pooled Features
- RefineNet: Refining Object Detectors for Autonomous Driving
- EuroCity Persons: A Novel Benchmark for Person Detection in Traffic Scenes
- WiderPerson: A Diverse Dataset for Dense Pedestrian Detection in the Wild
- Limitations of Feature-Classifier Strategies on Pedestrian Detection for Self Driving Cars
- Research on Unmanned Vehicle Detection Method Based on Improved YOLOv4_Tiny
- The Impact of Partial Occlusion on Pedestrian Detectability
- Navigating the Future:Lane Line Detection for Autonomous and Non-Autonmous Vehicles
- It's Not All About Size: On the Role of Data Properties in Pedestrian Detection
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