✦ LIBER ✦

Adaptive Mean-Shift Tracking With Auxiliary Particles

✍ Scribed by Junqiu Wang; Yagi, Y.

Book ID: 117939006
Publisher: IEEE
Year: 2009
Tongue: English
Weight: 643 KB
Volume: 39
Category: Article
ISSN: 1083-4419
DOI: 10.1109/tsmcb.2009.2021482

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Scale and orientation adaptive mean shif

Scale and orientation adaptive mean shift tracking

✍ Ning, J.; Zhang, L.; Zhang, D.; Wu, C. 📂 Article 📅 2012 🏛 The Institution of Engineering and Technology 🌐 English ⚖ 841 KB

Robust scale-adaptive mean-shift for tra

Robust scale-adaptive mean-shift for tracking

✍ Vojir, Tomas; Noskova, Jana; Matas, Jiri 📂 Article 📅 2014 🏛 Elsevier Science 🌐 English ⚖ 810 KB

Ground Moving Target Tracking with VS-IM

Ground Moving Target Tracking with VS-IMM Using Mean Shift Unscented Particle Filter

✍ Caicai GAO; Wei CHEN 📂 Article 📅 2011 🏛 Elsevier Science 🌐 English ⚖ 777 KB

Joint tracking algorithm using particle

Joint tracking algorithm using particle filter and mean shift with target model updating

✍ Bo Zhang; Weifeng Tian; Zhihua Jin 📂 Article 📅 2006 🏛 Optics InfoBase 🌐 English ⚖ 287 KB

Robust mean-shift tracking with correcte

Robust mean-shift tracking with corrected background-weighted histogram

✍ Ning, J.; Zhang, L.; Zhang, D.; Wu, C. 📂 Article 📅 2012 🏛 The Institution of Engineering and Technology 🌐 English ⚖ 661 KB

Mean shift blob tracking with kernel his

Mean shift blob tracking with kernel histogram filtering and hypothesis testing

✍ Ning Song Peng; Jie Yang; Zhi Liu 📂 Article 📅 2005 🏛 Elsevier Science 🌐 English ⚖ 491 KB

We propose a new adaptive model update mechanism for the real-time mean shift blob tracking. Since the Kalman filter has been used mainly for smoothing the object trajectory in the tracking system, it is novel for us to use adaptive Kalman filters for filtering object kernel histogram so as to obtai