This paper investigates the task of identifying frequently-used pathways from video sequences of natural outdoor scenes. Path models are adaptively learnt from the accumulation of...
With the development of positioning technologies and the boosting deployment of inexpensive location-aware sensors, large volumes of trajectory data have emerged. However, efficie...
Qiang Ma, Bin Yang 0002, Weining Qian, Aoying Zhou
Abstract. Many new applications involving moving objects require the collection and querying of trajectory data, so efficient indexing methods are needed to support complex spatio...
In this paper we propose an approach to count the number of pedestrians, given a trajectory data set provided by a tracking system. The tracking process itself is treated as a bla...
David Biliotti, Gianluca Antonini, Jean-Philippe T...
We present a proof of concept system to represent and reason about hockey play. The system takes as input player motion trajectory data tracked from game video and supported by kn...
Trajectory data is becoming increasingly available and the size of the trajectories is getting larger. In this paper we study the problem of compressing spatio-temporal trajectorie...
Joachim Gudmundsson, Jyrki Katajainen, Damian Merr...
Recently, trajectory data mining has received a lot of attention in both the industry and the academic research. In this paper, we study the privacy threats in trajectory data pub...
Noman Mohammed, Benjamin C. M. Fung, Mourad Debbab...
With the continued advancements in location-based services involved infrastructures, large amount of time-based location data are quickly accumulated. Distributed processing techni...
Bin Yang 0002, Qiang Ma, Weining Qian, Aoying Zhou
Trajectory clustering has played a crucial role in data analysis since it reveals underlying trends of moving objects. Due to their sequential nature, trajectory data are often rec...
The increasingly popular GPS technology and the growing amount of trajectory data it generates create the need for developing applications that efficiently store and query traject...
Petko Bakalov, Eamonn J. Keogh, Vassilis J. Tsotra...