PPT-Object-Based Nowcasting

Deterministic object detection tracking and forecasting system Uses 3D volumetric radar data 10 elevations and near surface scan 3D storm characterization with attributes regarding geometry intensity movement hydrometeors lightning. Pedro F. . Felzenszwalb. & Daniel P. . Huttenlocher. - A Discriminatively Trained, . Multiscale. , Deformable Part Model. Pedro . Felzenszwalb. , David . McAllester. Deva. . Ramanan. Presenter: . P. . Felzenszwalb. Generic object detection with deformable part-based models. Challenge: Generic object detection. Histograms of oriented gradients (HOG). Partition image into blocks at multiple scales and compute histogram of gradient orientations in each block. Weather Forecasting. Ross A. . Lazear. Why is forecasting the weather so difficult?. •. Imagine a rotating sphere 8,000 miles in diameter. -Has. a bumpy surface. -Surrounded. by 40-km deep mixture of different gases whose concentrations vary both spatially and over time. P. . Felzenszwalb. Object detection with deformable part-based models. Challenge: Generic object detection. Histograms of oriented gradients (HOG). Partition image into blocks and compute histogram of gradient orientations in each block. pointclouds. from in-hand sensor. Andreas Hermann, Felix . Mauch. , Sebastian . Klemm. , Arne . Roennau. Presented by Beatrice Liang. Overview and Motivation. Use in-hand depth cameras + GPU based collision detection algorithms for grasp planning on the fly. Using Implicit Cues from Image Tags. Sung . Ju. Hwang and Kristen . Grauman. University . of Texas at . Austin. Jingnan. Li. Ievgeniia. . Gutenko. Baby. Infant. Kid. Child. Headphones. Red. Cute. Laughing. Object-based classifiers. Others. DECISION TREES. Non-parametric approach. Data mining tool used in many applications, not just RS. Classifies data by building rules based on image values. Rules form trees that are multi-branched with nodes and “leaves” or endpoints. Pedro F. . Felzenszwalb. & Daniel P. . Huttenlocher. - A Discriminatively Trained, . Multiscale. , Deformable Part Model. Pedro . Felzenszwalb. , David . McAllester. Deva. . Ramanan. Presenter: . Several . Object Based Image Analysis Platforms. Troy Wirth. MGIS . Capstone Project . Proposal. Advisor: Dr. Douglas . Miller. Thanks to: Cheryl . Hummon. . (ODA), John Byers (ODA), Meta Loftsgaarden (OWEB). Zan Gao, . Deyu Wang. , Xiangnan He, Hua . Zhang. Tianjin University . of Technology. National University of Singapore. Previous work. Proposed method. Experiments. Conclusion. Outline. Previous work. Overview. Sachin. . Ghanekar. Agenda. A brief Overview & History of Digital Audio. Basic Concepts of Object Audio & How it works. Signal Processing in Object Based Audio on Headphones.. Signal Processing in Object Based Audio on Immersive Speaker Layouts. Results, Tools and Methods. Tammy Jackson, SAS Institute. Data Collected in Real Time Can be Used to Produce a Quality Forecast. Forecasting visitor counts in state and national parks.. Social Media included. Yonggang Cui. 1. , Zoe N. Gastelum. 2. , Ray Ren. 1. , Michael R. Smith. 2. , . Yuewei. Lin. 1. , Maikael A. Thomas. 2. , . Shinjae. Yoo. 1. , Warren Stern. 1. 1 . Brookhaven National Laboratory, Upton, USA. Anomaly Detection. Instructor: Dr. Kevin Molloy. Learning Objectives From Last Class. Clustering and Unsupervised Learning. Hierarchical clustering. Partitioned-based clustering (K-Means). Density-based clustering (.