A Deep-Structured Conditional Random Field Model for Object Silhouette Tracking. [PDF]
PLoS ONE, 2015 In this work, we introduce a deep-structured conditional random field (DS-CRF) model for the purpose of state-based object silhouette tracking. The proposed DS-CRF model consists of a series of state layers, where each state layer spatially characterizes
Mohammad Javad Shafiee +2 more
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Conditional Random Field-Guided Multi-Focus Image Fusion [PDF]
Journal of Imaging, 2022 Multi-Focus image fusion is of great importance in order to cope with the limited Depth-of-Field of optical lenses. Since input images contain noise, multi-focus image fusion methods that support denoising are important.
Odysseas Bouzos +2 more
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Affiliated Fusion Conditional Random Field for Urban UAV Image Semantic Segmentation [PDF]
Sensors, 2020 Unmanned aerial vehicles (UAV) have had significant progress in the last decade, which is applied to many relevant fields because of the progress of aerial image processing and the convenience to explore areas that men cannot reach.
Yingying Kong +5 more
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A conditional random field based feature learning framework for battery capacity prediction [PDF]
Scientific Reports, 2022 This paper proposes a network model framework based on long and short-term memory (LSTM) and conditional random field (CRF) to promote Li-ion battery capacity prediction results.
Hai-Kun Wang, Yang Zhang, Mohong Huang
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Indoor Pedestrian Navigation Based on Conditional Random Field Algorithm [PDF]
Micromachines, 2017 Foot-mounted micro-electromechanical systems (MEMS) inertial sensors based on pedestrian navigation can be used for indoor localization. We previously developed a novel zero-velocity detection algorithm based on the variation in speed over a gait cycle ...
Mingrong Ren +3 more
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LiDAR–camera fusion for road detection using a recurrent conditional random field model [PDF]
Scientific Reports, 2022 Reliable road detection is an essential task in autonomous driving systems. Two categories of sensors are commonly used, cameras and light detection and ranging (LiDAR), each of which can provide corresponding supplements.
Lele Wang, Yingping Huang
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Conditional Random Field-Based Offline Map Matching for Indoor Environments [PDF]
Sensors, 2016 In this paper, we present an offline map matching technique designed for indoor localization systems based on conditional random fields (CRF). The proposed algorithm can refine the results of existing indoor localization systems and match them with the ...
Safaa Bataineh +4 more
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Joint Conditional Random Field Filter for Multi-Object Tracking
International Journal of Advanced Robotic Systems, 2011 Object tracking can improve the performance of mobile robot especially in populated dynamic environments. A novel joint conditional random field Filter (JCRFF) based on conditional random field with hierarchical structure is proposed for multi-object ...
Luo Ronghua, Min Huaqing
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Rockhead profile simulation using an improved generation method of conditional random field
Journal of Rock Mechanics and Geotechnical Engineering, 2022 Rockhead profile is an important part of geological profiles and can have significant impacts on some geotechnical engineering practice, and thus, it is necessary to establish a useful method to reverse the rockhead profile using site investigation ...
Liang Han +4 more
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A conditional random field based approach for high-accuracy part-of-speech tagging using language-independent features [PDF]
PeerJ Computer SciencePart-of-speech (POS) tagging is the process of assigning tags or labels to each word of a text based on the grammatical category. It provides the ability to understand the grammatical structure of a text and plays an important role in many natural ...
Mushtaq Ali +2 more
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