Robots that detect changes in the environment can attain better context awareness and increased autonomy. In this work, a spatial change detection approach is presented which uses a single fixed depth camera to identify environment changes caused by human activities. The proposed method combines hand tracking and the difference between organized point clouds. Bimanual movements are recorded in ...

Change detection (CD) is a technique widely used in remote sensing for identifying the differences between data acquired at different times. Most existing 3D CD approaches voxelize point clouds into grids, project them 2D images, or rasterize digital surface models due to irregular format of and variety changes three-dimensional (3D) objects. However, details geometric structure spatiotemporal ...

given the critical role played by urban green spaces and the emergence of remote sensing as avaluable natural resource management tool, this study sought to identify trends in green spaces within thecontext of south africa’s transition period (1990 - 2000). using the city of port elizabeth as a case study, threesets of landsat - 5 thematic mapper images (1990, 1995 and 2000) were geo-processed,...

a study of substantial anthropogenic related pollution in the coastal samut prakarn province (thailand) was carried out focusing on the bang pu nature reserve (remnant mangrove wetland) using a remote sensing (geospatial) technique. statistical regression models were developed between biochemical parameters of sample point and related reflectance data obtained from satellite imagery (landsat...

Change point detection makes predictions in data whose structure changes over time and belongs to a class of methods called time series methods. Machine learning is the design of algorithms whose performance improves with data. Techniques from statistics, such as change point detection, have received increased interest in recent years in machine learning. Many problems have change point structu...