AIMC Topic: Pedestrians

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Mask-Guided Attention Network and Occlusion-Sensitive Hard Example Mining for Occluded Pedestrian Detection.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Mar 26, 2021
Pedestrian detection relying on deep convolution neural networks has made significant progress. Though promising results have been achieved on standard pedestrians, the performance on heavily occluded pedestrians remains far from satisfactory. The ma...
Neural Networks, Computer Image Processing, Computer-Assisted Humans Video Recording Pedestrians Data Mining
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Person Reidentification via Unsupervised Cross-View Metric Learning.

IEEE transactions on cybernetics Mar 17, 2021
Person reidentification (Re-ID) aims to match observations of individuals across multiple nonoverlapping camera views. Recently, metric learning-based methods have played important roles in addressing this task. However, metrics are mostly learned in...
Algorithms Image Processing, Computer-Assisted Humans Pedestrians Cluster Analysis Unsupervised Machine Learning Biometric Identification
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Batch Coherence-Driven Network for Part-Aware Person Re-Identification.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Mar 9, 2021
Existing part-aware person re-identification methods typically employ two separate steps: namely, body part detection and part-level feature extraction. However, part detection introduces an additional computational cost and is inherently challenging...
Image Processing, Computer-Assisted Biometric Identification Pedestrians Humans Deep Learning
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Locomotion with Pedestrian Aware from Perception Sensor by Pavement Sweeping Reconfigurable Robot.

Sensors (Basel, Switzerland) Mar 3, 2021
Regular washing of public pavements is necessary to ensure that the public environment is sanitary for social activities. This is a challenge for autonomous cleaning robots, as they must adapt to the environment with varying pavement widths while avo...
Feedback Perception Robotics Pedestrians Locomotion Humans
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Holistic LSTM for Pedestrian Trajectory Prediction.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Mar 2, 2021
Accurate predictions of future pedestrian trajectory could prevent a considerable number of traffic injuries and improve pedestrian safety. It involves multiple sources of information and real-time interactions, e.g., vehicle speed and ego-motion, pe...
Walking Pedestrians Intention Neural Networks, Computer Humans Image Processing, Computer-Assisted
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Multi-View Gait Image Generation for Cross-View Gait Recognition.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Feb 22, 2021
Gait recognition aims to recognize persons' identities by walking styles. Gait recognition has unique advantages due to its characteristics of non-contact and long-distance compared with face and fingerprint recognition. Cross-view gait recognition i...
Video Recording Biometric Identification Gait Pedestrians Deep Learning Image Processing, Computer-Assisted Humans Databases, Factual
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Complementary Pseudo Labels for Unsupervised Domain Adaptation On Person Re-Identification.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Feb 12, 2021
In recent years, supervised person re-identification (re-ID) models have received increasing studies. However, these models trained on the source domain always suffer dramatic performance drop when tested on an unseen domain. Existing methods are pri...
Humans Pedestrians Image Processing, Computer-Assisted Algorithms Biometric Identification Databases, Factual Unsupervised Machine Learning
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An End-to-End Foreground-Aware Network for Person Re-Identification.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Jan 21, 2021
Person re-identification is a crucial task of identifying pedestrians of interest across multiple surveillance camera views. For person re-identification, a pedestrian is usually represented with features extracted from a rectangular image region tha...
Pedestrians Video Recording Algorithms Image Processing, Computer-Assisted Biometric Identification Humans Machine Learning
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Prediction of pedestrian-vehicle conflicts at signalized intersections based on long short-term memory neural network.

Accident; analysis and prevention Oct 17, 2020
Pedestrian protection is an important component of road safety. Intersections are dangerous locations for pedestrians with mixed traffic. This paper aims to predict potential traffic conflicts between pedestrians and vehicles at signalized intersecti...
Pattern Recognition, Automated Humans Built Environment Accidents, Traffic Neural Networks, Computer Safety Pedestrians
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Virtual to Real Adaptation of Pedestrian Detectors.

Sensors (Basel, Switzerland) Sep 14, 2020
Pedestrian detection through Computer Vision is a building block for a multitude of applications. Recently, there has been an increasing interest in convolutional neural network-based architectures to execute such a task. One of these supervised netw...
Movement Humans Pedestrians Neural Networks, Computer Image Interpretation, Computer-Assisted
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