scholarly journals Motion detection in spatio-temporal space

1989 ◽  
Vol 45 (1) ◽  
pp. 131 ◽  
Author(s):  
Shih-Ping Liou ◽  
Ramesh C Jain
1989 ◽  
Vol 45 (2) ◽  
pp. 227-250 ◽  
Author(s):  
Shih-Ping Liou ◽  
Ramesh C Jain

Author(s):  
W. Song ◽  
F. Zhang

There are complex spatio-temporal relationships among cadastral entities. Cadastral spatio-temporal data model should not only describe the data structure of cadastral objects, but also express cadastral spatio-temporal relationships between cadastral objects. In the past, many experts and scholars have proposed a variety of cadastral spatio-temporal data models, but few of them concentrated on the representation of spatiotemporal relationships and few of them make systematic studies on spatiotemporal relationships between cadastral objects. The studies on spatio-temporal topological relationships are not abundant. In the paper, we initially review current approaches to the studies of spatio-temporal topological relationships, and argue that spatio-temporal topological relation is the combination of temporal topology on the time dimension and spatial topology on the spatial dimension. Subsequently, we discuss and develop an integrated representation of spatio-temporal topological relationships within a 3-dimensional temporal space. In the end, based on the semantics of spatiotemporal changes between land parcels, we conclude the possible spatio-temporal topological relations between land parcels, which provide the theoretical basis for creating, updating and maintaining of land parcels in the cadastral database.


Author(s):  
Marc Hensel ◽  
Gordon Wiesner ◽  
Bernd Kuhrmann ◽  
Thomas Pralow ◽  
Rolf-Rainer Grigat

2015 ◽  
Vol 12 (01) ◽  
pp. 1350097 ◽  
Author(s):  
M. N. Al-Berry ◽  
M. A.-M. Salem ◽  
A. S. Hussein ◽  
M. F. Tolba

Intelligent surveillance aims at conceiving reliable and efficient systems that are able to detect and track moving objects in complicated real world scenes. This paper proposes an innovative 3D stationary wavelet-based motion detection technique that fuses spatial and temporal analysis in a single 3D transform. This single transform is composed of applying a 2D transform in the spatial domain followed by 1D transform in the time domain. The results of the proposed technique are compared favorably with those of the recently used stationary wavelet-based technique. In addition of being accurate and has reasonable complexity of O(N2 log N), the proposed technique is robust to real world scene variations, including nonuniform and time-varying illumination.


2013 ◽  
Vol 333-335 ◽  
pp. 845-848
Author(s):  
Hong Wei Di ◽  
Cheng Cheng Huang ◽  
Hui Gao

An algorithm of spatio-temporal combining video denoising based on structural similarity is proposed for the video surveillance system. By motion detection to multi-frame images with block structural similarity, this algorithm can adaptively distinguish the still regions and motion regions of video image. Temporal weighted average filter to the still regions and spatial ANL filter to the motion regions are used separately. Experimental results show that the proposed algorithm can improve the image quality and greatly reuduce the computation time.


2018 ◽  
Vol 8 (1) ◽  
Author(s):  
Sonia Khetarpaul ◽  
S. K. Gupta ◽  
L. Venkata Subramaniam

Sign in / Sign up

Export Citation Format

Share Document