會議論文

標題 Moving Object Tracking Using Symmetric Mask-Based Scheme
學年 97
學期 1
發表日期 2009/08/18
作品名稱 Moving Object Tracking Using Symmetric Mask-Based Scheme
作品名稱(其他語言)
著者 Hsia, Chih-Hsien; Huang, Ding-Wei; Chiang, Jen-Shiun; Wu, Zong-Jheng
作品所屬單位 淡江大學電機工程學系
出版者 New York: Institute of Electrical and Electronics Engineers (IEEE)
會議名稱 Information Assurance and Security, 2009. IAS '09. Fifth International Conference on
會議地點
摘要 This work presents a new approach, symmetric mask-based scheme (SMBS), for moving object detection and tracking based on the symmetric mask-based discrete wavelet transform (SMDWT). This work presents a fast algorithm, called 2D SMDWT, to improve the critical issue of the 2D lifting-based Discrete Wavelet Transform (LDWT), and then obtains the benefit of low latency, reduced complexity, and low transpose memory for object detection. The successful moving object detection in a real surrounding environment is a difficult task due to noise issues such as fake motion or Gaussian noise. The SMBS approach can effectively reduce noises with low computing cost in both indoor and outdoor environments. The experimental results indicate that the proposed method can provide precise moving object detection and tracking.
關鍵字 Lifting-based Discrete Wavelet Transform (LDWT);symmetric mask-based discrete wavelet transform (SMDWT);symmetric mask-based scheme (SMBS)
語言 英文
收錄於
會議性質
校內研討會地點
研討會時間 20090818~20090820
通訊作者
國別
公開徵稿
出版型式
出處 Information Assurance and Security, 2009. IAS '09. Fifth International Conference on, pp.173-176