Method and device for tracking two or more object
作者： Adam Christian , Richter Eric , Schubert Robin , マッテルン ノルマン , シューベルト ロビン
DOI:
关键词: Video tracking 、 Computer vision 、 Tracking (particle physics) 、 State (computer science) 、 Coupling 、 Bayesian filtering 、 Object (computer science) 、 Tracking system 、 Artificial intelligence 、 Interface (computing) 、 Computer science
摘要: PROBLEM TO BE SOLVED: To describe a tracking system using multiple object (MOT) for combining data from plurality of sensors (101) in order to obtain the state estimation one or more objects (103).SOLUTION: An interface is made be used various (101). The (102) consists different blocks (104), existence (106) an and coupling (105). Sensor observed are modeled Bayesian filter framework use sensor data. All interfaces system, i.e., between MOT guarantees only applicable model each other when already designed.
lens.org 参考文章(9)
A. Averbuch, S. Itzikowitz, T. Kapon, Parallel implementation of multiple model tracking algorithms IEEE Transactions on Parallel and Distributed Systems. ,vol. 2, pp. 242- 252 ,(1991) , 10.1109/71.89069
Thomas G. Lockheed Martin Corp. Picard, Methods and apparatus for target discrimination using observation vector weighting ,(2005)
Shuqing Zeng, Multiobject fusion module for collision preparation system ,(2010)
David Manegold, Peter Mayer, Multisensor Management and Data Fusion via Parallelized Multivariate Filters ,(2012)
彰規 淺原, Akinori Asahara, Nobutaka Kimura, Nobuhiro Ishimaru, 伸裕 石丸, 眞之 藤田, Hidefumi Okamura, Masayuki Fujita, 宣隆 木村, 秀文 岡村, Sensor integration system and sensor integration method ,(2011)
辰男 藤, 貴史 松崎, Hiroshi Kameda, Ryoji Maekawa, 洋志 亀田, Takashi Matsuzaki, 良二 前川, Tatsuo Fuji, Sensor information integrating system ,(2008)
Hidetoshi Furukawa, 英俊 古川, Composite sensor device ,(2008)
Suteyuaato Kei Kaado, Ramana Bii Rao, OPERATING METHOD OF SYSTEM ,(1995)
Naganami Takao, Sugii Masakatsu, Harasaki Akiko, Oshita Masazumi, Fukuyama Yoshiyuki, Goto Yuichiro, TARGET TRACKING APPARATUS ,(1999)