'Moving object' presentation slideshows

Hewitt/Suchocki/Hewitt Conceptual Physical Science Fourth Edition

2.64k views • 68 slides

The Universe

784 views • 59 slides

CS 326A: Motion Planning

732 views • 55 slides

Last lecture

Last lecture. Path planning for a moving point Visibility graph Cell decomposition Potential field. Fundamental question of motion planning. Given the geometry of Robot Obstacles Find a path between initial and goal robot positions Key: capture the connectivity of the space.

700 views • 51 slides

Special theory of relativity (1905) general theory of relativity

Dept of Phys. M.C. Chang. Special theory of relativity (1905) general theory of relativity. Space and time. Newton. Post-Newton. Inertial frame and noninertial frame. The velocity of light. C=299792458 m/s. 100+200=300. C+C=2C?.

831 views • 50 slides

Galaxies and the Universe

623 views • 41 slides

Introduction to Moving Data and Moving Object Databases

Introduction to Moving Data and Moving Object Databases. Vania Bogorny Universidade Federal do Rio Grande do Sul www.inf.ufrgs.br/~vbogorny vbogorny@inf.ufrgs.br. Tutorial on Spatial and Spatio-Temporal Data Mining (SBBD-2008). Shashi Shekhar University of Minnesota

590 views • 40 slides

Algorithms for cooperative multisensor surveillance

Algorithms for cooperative multisensor surveillance. Page(1~13/22). IEEE JNL.

457 views • 35 slides

Knowledge as Love

Knowledge as Love. How Metaphors Direct our Efforts to Manage Knowledge in Organisations Keynote address 8th European Conference on Knowledge Management Consorci Escola Industrial de Barcelona (CEIB), Barcelona, Spain 6-7 September 2007

473 views • 30 slides

A REAL-TIME VIDEO OBJECT SEGMENTATION ALGORITHM BASED ON CHANGE DETECTION AND BACKGROUND UPDATING

A REAL-TIME VIDEO OBJECT SEGMENTATION ALGORITHM BASED ON CHANGE DETECTION AND BACKGROUND UPDATING. ? ?? 95/5/18. Outline. 1. Change detection 1.1. Histogram analysis 1.2. Parameters estimation 1.3. Pixel classification 2. Object region detection 3. Background Updating

489 views • 24 slides

Contents

PixelGT: A new Ground Truth specification for video surveillance Dr. Kenneth Dawson-Howe, Graphics, Vision and Visualisation Group (GV2), School of Computer Science & Statistics, Trinity College Dublin. Contents. Introduction Review Specification Annotation Conclusions. Introduction

354 views • 23 slides

Problems CH 05

Problems CH 05. 131. Drag Force and Terminal Speed

362 views • 23 slides

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????. ??? ??????? kkng@thu.edu.tw Office: ST223, Tel: 3467 Office hour: 10 -11am (Tue, Fri). Test book: Fundamentals of Physics, 7th Ed., Halliday/ Resnick/ Walker, John Wiley & Sons, Inc. Course content:

547 views • 22 slides

Indexing the imprecise positions of moving objects

Indexing the imprecise positions of moving objects. Xiaofeng Ding and Yansheng Lu Department of Computer Science Huazhong University of Science & Technology Wuhan, China. Outline of the Talk. Background The moving objects with uncertainty Query evaluation and indexing Conclusions.

338 views • 20 slides

Work and Energy

258 views • 15 slides

Taking Notes

Taking Notes. Why you should bother, and how to do it well. Why bother with notes?. Taking notes helps you: understand more deeply pay attention figure out what questions to ask do your homework more easily study for tests. Effective note-taking.

406 views • 15 slides

Force

320 views • 15 slides

Fast Multi Class Distance Transforms for Video Surveillance

January 2008. Fast Multi Class Distance Transforms for Video Surveillance. Theo Schouten Egon van den Broek. Distance Transformation. distance map D(p) = min { dist(p,q), q ? O }. Multi Class DT. class map C(p) = C(q), q ? O, dist(p,q) == D(p).

267 views • 14 slides

Force

340 views • 14 slides

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