Object recognition under severe occlusions with a hidden Markov model approach-Reference-Cited by-同舟云学术

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Object recognition under severe occlusions with a hidden Markov model approach

Published:2017-01 Issue: Volume:86 Page:68-75
ISSN:0167-8655
Container-title:Pattern Recognition Letters
language:en
Short-container-title:Pattern Recognition Letters

Author:

Guerrero-Peña F.A.,Vasconcelos G.C.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference23 articles.

1. Shape matching and object recognition using shape contexts;Belongie;IEEE Trans. Pattern Anal. Mach. Intell.,2002

2. Using the inner-distance for classification of articulated shapes;Ling,2005

3. A new method for recognition partially occluded curved objects under affine transformation;Zhang,2015

4. Occlusion reasoning for object detectionunder arbitrary viewpoint;Hsiao;IEEE Trans. Pattern Anal. Mach. Intell.,2014

5. Learning deep features for scene recognition using places database;Zhou,2014

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Improved YOLOv5 infrared tank target detection method under ground background;Scientific Reports;2023-04-17

2. Improved YOLOv5 infrared tank target detection method under ground background;2023-02-01

3. CHMM Object Detection Based on Polygon Contour Features by PSM;Sensors;2022-08-30

4. Occlusion-aware spatial attention transformer for occluded object recognition;Pattern Recognition Letters;2022-07

5. On the choice of number of superstates in the aggregation of Markov chains;Pattern Recognition Letters;2022-07

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