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» An Object Tracking Scheme Based on Local Density
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SIGMOD
2000
ACM
137views Database» more  SIGMOD 2000»
15 years 1 months ago
LOF: Identifying Density-Based Local Outliers
For many KDD applications, such as detecting criminal activities in E-commerce, finding the rare instances or the outliers, can be more interesting than finding the common pattern...
Markus M. Breunig, Hans-Peter Kriegel, Raymond T. ...
CVPR
2005
IEEE
15 years 11 months ago
Multiple Object Tracking with Kernel Particle Filter
A new particle filter, Kernel Particle Filter (KPF), is proposed for visual tracking for multiple objects in image sequences. The KPF invokes kernels to form a continuous estimate...
Cheng Chang, Rashid Ansari, Ashfaq A. Khokhar
ICCV
2005
IEEE
15 years 3 months ago
Fast Global Kernel Density Mode Seeking with Application to Localisation and Tracking
We address the problem of seeking the global mode of a density function using the mean shift algorithm. Mean shift, like other gradient ascent optimisation methods, is susceptible...
Chunhua Shen, Michael J. Brooks, Anton van den Hen...
108
Voted
VMV
2001
160views Visualization» more  VMV 2001»
14 years 11 months ago
A Multi-Sensor Object Localization System
This paper presents a localization and tracking system integrating multiple sensors. Object localization results from local sensor systems are fused using a decentralized Kalman f...
Sascha Spors, Rudolf Rabenstein, Norbert Strobel
PSIVT
2007
Springer
239views Multimedia» more  PSIVT 2007»
15 years 3 months ago
People Counting in Low Density Video Sequences
This paper presents a novel approach for automatic people counting in videos captured through a conventional closed-circuit television (CCTV) using computer vision techniques. The ...
Jaime Dalla Valle, Luiz E. Soares de Oliveira, Ale...