كتاب
An effective video processing pipeline for crowd pattern analysis
| العنوان: | An effective video processing pipeline for crowd pattern analysis |
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| المؤلفون: | Yu, Hao, Xu, Zhijie, Wang, Jing, Liu, Ying, Fan, Jiulun |
| بيانات النشر: | IEEE |
| سنة النشر: | 2017 |
| المجموعة: | SHURA (Sheffield Hallam University Research Archive) |
| الوصف: | With the purpose of automatic detection of crowd patterns including abrupt and abnormal changes, a novel approach for extracting motion “textures” from dynamic Spatio-Temporal Volume (STV) blocks formulated by live video streams has been proposed. This paper starts from introducing the common approach for STV construction and corresponding Spatio-Temporal Texture (STT) extraction techniques. Next the crowd motion information contained within the random STT slices are evaluated based on the information entropy theory to cull the static background and noises occupying most of the STV spaces. A preprocessing step using Gabor filtering for improving the STT sampling efficiency and motion fidelity has been devised and tested. The technique has been applied on benchmarking video databases for proof-of-concept and performance evaluation. Preliminary results have shown encouraging outcomes and promising potentials for its real-world crowd monitoring and control applications. |
| نوع الوثيقة: | book part |
| وصف الملف: | application/pdf |
| اللغة: | English |
| العلاقة: | http://shura.shu.ac.uk/18879Test/; http://ieeexplore.ieee.org/document/8082025Test/; https://shura.shu.ac.uk/18879/1/ICAC17-1.pdfTest; YU, Hao, XU, Zhijie, WANG, Jing , LIU, Ying and FAN, Jiulun (2017). An effective video processing pipeline for crowd pattern analysis. In: 2017 23rd International Conference on Automation and Computing (ICAC). IEEE. |
| DOI: | 10.23919/IConAC.2017.8082025 |
| الإتاحة: | https://doi.org/10.23919/IConAC.2017.8082025Test https://shura.shu.ac.uk/18879/1/ICAC17-1.pdfTest |
| حقوق: | arr |
| رقم الانضمام: | edsbas.EAE1DCC4 |
| قاعدة البيانات: | BASE |
| DOI: | 10.23919/IConAC.2017.8082025 |
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