Pedestrian object detection with fusion of visual attention mechanism and semantic computation

No abstract is available for this paper.

• Publication year

  2019

• Venue

  Multimedia tools and applications

• Publication date

  2019-01-10

• Fields of study

  Computer Science

• Identifiers
  DOI 10.1007/s11042-018-7143-6
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Towards Reaching Human Performance in Pedestrian Detection

  2018cited by this paper
• PEA: Parallel electrocardiogram-based authentication for smart healthcare systems

  2018cited by this paper
• Defocus Blur Detection via Multi-stream Bottom-Top-Bottom Fully Convolutional Network

  2018cited by this paper
• Occluded Pedestrian Detection Through Guided Attention in CNNs

  2018cited by this paper
• ViS-HuD: Using Visual Saliency to Improve Human Detection with Convolutional Neural Networks

  2018cited by this paper
• Low illumination underwater light field images reconstruction using deep convolutional neural networks

  2018cited by this paper
• Brain Intelligence: Go beyond Artificial Intelligence

  2017cited by this paper
• Learning Cross-Modal Deep Representations for Robust Pedestrian Detection

  2017cited by this paper
• Amulet: Aggregating Multi-level Convolutional Features for Salient Object Detection

  2017cited by this paper
• Combining Convolutional and Recurrent Neural Networks for Human Skin Detection

  2017cited by this paper
• CityPersons: A Diverse Dataset for Pedestrian Detection

  2017cited by this paper
• What Can Help Pedestrian Detection?

  2017cited by this paper
• Learning Uncertain Convolutional Features for Accurate Saliency Detection

  2017cited by this paper
• Semantic feature-based visual attention model for pedestrian detection

  2016cited by this paper
• Adopting Abstract Images for Semantic Scene Understanding

  2016cited by this paper
• Learning Complexity-Aware Cascades for Deep Pedestrian Detection

  2015cited by this paper
• Learning Optimal Seeds for Diffusion-Based Salient Object Detection

  2014cited by this paper
• Talking Heads: Detecting Humans and Recognizing Their Interactions

  2014cited by this paper
• Pedestrian detection based on modeling computation of visual attention

  2014cited by this paper
• Informed Haar-Like Features Improve Pedestrian Detection

  2014cited by this paper
• Performance analysis in common color spaces of 2D Gaussian Color Model for skin segmentation

  2013cited by this paper
• A Bayesian approach to skin detection in YCbCr color space

  2013cited by this paper
• Object Detection with Discriminatively Trained Part Based Models

  2010influential reference
• A Model of Saliency-Based Visual Attention for Rapid Scene Analysis

  2009influential reference
• Classification using intersection kernel support vector machines is efficient

  2008cited by this paper
• Objects predict fixations better than early saliency.

  2008cited by this paper
• Graph-Based Visual Saliency

  2006influential reference
• An Integrated Model of Top-Down and Bottom-Up Attention for Optimizing Detection Speed

  2006cited by this paper
• Saliency Based on Information Maximization

  2005cited by this paper
• Pedestrian detection in crowded scenes

  2005cited by this paper
• Histograms of oriented gradients for human detection

  2005influential reference
• Pedestrian detection for driving assistance systems: single-frame classification and system level performance

  2004cited by this paper
• Models of bottom-up and top-down visual attention

  2000cited by this paper
• A Model of Saliency-Based Visual Attention for Rapid Scene Analysis

  1998influential reference
• Multimedia tools and applications

  1995cited by this paper

• The Method of Object Saliency Detection in Remote Sensing Images Based on Gestalt Theory and Visual Attention

  2024cites this paper
• Application of Lightweight Deep Learning Model in Pedestrian Detection

  2024cites this paper
• Pedestrian detection using RetinaNet with multi-branch structure and double pooling attention mechanism

  2023cites this paper
• SiMaLSTM-SNP: novel semantic relatedness learning model preserving both Siamese networks and membrane computing

  2023cites this paper
• SARNet: Spatial Attention Residual Network for pedestrian and vehicle detection in large scenes

  2022cites this paper
• An enhanced relation-aware global-local attention network for escaping human detection in indoor smoke scenarios

  2022cites this paper
• A novel visible spectrum images-based pedestrian detection and tracking system for surveillance in non-controlled environments

  2022cites this paper
• PVformer: Pedestrian and Vehicle Detection Algorithm Based on Swin Transformer in Rainy Scenes

  2022cites this paper
• Image Visualization of Machine Electromagnetic Vision System based on HSV Model

  2022cites this paper
• Visual Information Features and Machine Learning for Wushu Arts Tracking

  2021cites this paper
• Multi-task faster R-CNN for nighttime pedestrian detection and distance estimation

  2021cites this paper
• Pedestrian Detection at Night in Infrared Images Using an Attention-Guided Encoder-Decoder Convolutional Neural Network

  2020cites this paper
• A fast fused part-based model with new deep feature for pedestrian detection and security monitoring

  2020cites this paper
• Fine-Grained Image Classification for Crop Disease Based on Attention Mechanism

  2020cites this paper
• Semi-Supervised Faster RCNN-Based Person Detection and Load Classification for Far Field Video Surveillance

  2019cites this paper