文章詳目資料
Journal of Computers EIMEDLINEScopus
加入收藏
下載文章
| 篇名 | A Crowd Video Retrieval Framework Using Generic Descriptors |
|---|---|
| 卷期 | 31:1 |
| 作者 | Pei Voon Wong 、 Norwati Mustapha 、 Lilly Suriani Affendey 、 Fatimah Khalid |
| 頁次 | 034-045 |
| 關鍵字 | crowd motion 、 crowd scenes 、 crowd video retrieval 、 generic descriptor 、 motion pattern segmentation 、 EI 、 MEDLINE 、 Scopus |
| 出刊日期 | 202002 |
| DOI | 10.3966/199115992020023101003 |
中文摘要
英文摘要
In the era of data mining and analytics, retrieval of crowd video with desired motion pattern segmentation plays a significant role in surveillance video management. The retrieval of crowd video with desired motion pattern segmentation poses challenges in finding generic descriptors to describe crowd patterns and similarity matching. This paper presents a novel crowd video retrieval framework using generic descriptors to overcome the above challenges. The anticipated structure comprises of four core components, namely motion feature extraction, group detection, learning generic descriptors, and crowd video retrieval. Results obtained indicate that the proposed framework can improve performance of crowd video retrieval compared with the existing crowd motions on CUHK Crowd Dataset.
本卷期文章目次
- Investing Strategies as Stochastic Oscillator Indicators Staying in Overreaction Zones for Consecutive Days with Big Data Concerns / Yensen Ni、Paoyu Huang、Yaochia Ku、Yiching Liao、Min-Yuh Day
- HMM-based Fault Diagnosis for Web Service Composition / Zhi-Chun Jia、Yuan Lu、Xiang Li、Xing Xing
- Deeply Integrated Convolutional Neural Networks / Daojun Liang、Xiuping Wang、Xiaohui Ju1, Feng Yang
- Reliability of Cluster-based Mobile Cloud Computing Enhancement Using Optimal Byzantine Agreement / Shu-Ching Wang、Ya-Jung Lin、Kuo-Qin Yan、Yao-Te Tsai