'Object detection' diaporamas de présentation

Digital Video Recorder

930 views • 68 slides

Real-Time Detection of Multiple Moving Objects in Complex Image Sequences

Real-Time Detection of Multiple Moving Objects in Complex Image Sequences. International journal of imaging systems and technology 10,305-317,1999. Speaker: M. Q. Jing. Outline. Introduction Change Detection Algorithms

465 views • 46 slides

AN ACTIVE VISION APPROACH TO OBJECT SEGMENTATION

616 views • 44 slides

Computer Vision

Computer Vision. CMSC 25000 Artificial Intelligence March 11, 2008. Roadmap. Motivation Computer vision applications Is a Picture worth a thousand words? Low level features Feature extraction: intensity, color High level features Top-down constraint: shape from stereo, motion,..

641 views • 43 slides

Graphical model software for machine learning

Graphical model software for machine learning. Kevin Murphy University of British Columbia. December, 2005. Outline . Discriminative models for iid data Beyond iid data: conditional random fields Beyond supervised learning: generative models Beyond optimization: Bayesian models.

661 views • 42 slides

Graphical model software for machine learning

Graphical model software for machine learning. Kevin Murphy University of British Columbia. December, 2005. Outline . Discriminative models for iid data Beyond iid data: conditional random fields Beyond supervised learning: generative models Beyond optimization: Bayesian models.

578 views • 42 slides

Grand Challenge for Computer Science DARPA AGV Race 2005

Grand Challenge for Computer Science DARPA AGV Race 2005. Srini Vason srinivp@hotmail.com srini@datafluxsystems.com srini@eecs.berkeley.edu. Web Resources. Http://home.pacbell.net/srinivp www.datafluxsystems.com www.cyberrider.org www.darpa.mil/grandchallenge.

636 views • 42 slides

Equipotentials and Energy

Equipotentials and Energy. Electric Potential. Last time: Potential energy and potential. Potential energy stored in a static charge distribution work we do to assemble the charges Electric potential energy of a charge in the presence of a set of source charges

595 views • 41 slides

Support Vector Machine & Its Applications

881 views • 38 slides

Implementing Algorithms in FPGA-Based Reconfigurable Computers Using C-Based Synthesis

Implementing Algorithms in FPGA-Based Reconfigurable Computers Using C-Based Synthesis. Doug Johnson, Technical Marketing Manager NCSA/OSC Reconfigurable Systems Summer Institute Urbana, Illinois, July 11-13 2005. Celoxica. UK-Based System design company

672 views • 38 slides

SAS Deep Learning Object Detection, Keypoint Detection

SAS Deep Learning Object Detection, Keypoint Detection. Xindian Long. 2018.09. Outline. Introduction Object Detection Concept and the YOLO Algorithm Object Detection Example (CAS Action) Facial Keypoint Detection Example ( DLPy ). Why SAS Deep Learning.

735 views • 37 slides

Cross-Browser Best Practices

382 views • 37 slides

Sensors

Sensors. Material taken from Robotics with the Boe-Bot. Where Are We Going?. Sumo-Bot competitions. Devices that Contain Sensors. The boebot uses sensors to interact with its environment.

519 views • 31 slides

Computer Vision since Deep Learning

503 views • 29 slides

Poselets: Body Part Detectors trained Using 3D Human Pose Annotations

736 views • 28 slides

Introduction to Stringology

443 views • 27 slides

BING: Binarized Normed Gradients for Objectness Estimation at 300fps

BING: Binarized Normed Gradients for Objectness Estimation at 300fps. Ming-Ming Cheng 1 Ziming Zhang 2 Wen-Yan Li 1 Philip H. S. Torr 1 1 Torr Vision Group, Oxford University 2 Boston University. Motivation: Generic object detection. Motivation: What is an object?.

806 views • 23 slides

Autonomous Robotic Convoy

Autonomous Robotic Convoy. Introduction. CSCI 5551 Final Project. Team members: Ming-Chang Chiu (Computer Science) Wenbo Dong (Department?) Joel Runnels (Aerospace Engineering) Venkat Ram Subramanian (Electrical Engineering). Autonomous Robotic Convoy. Motivation.

514 views • 20 slides

N ight v ision t echnology

N ight v ision t echnology. BY. I NTRODUCTION. It allows one to see in the dark . Originally developed for military use , has provided UNITED STATES with a strategic military advantage whose value can be measured in life's.

571 views • 20 slides

A Tutorial on Object Detection Using OpenCV

A Tutorial on Object Detection Using OpenCV. Introduction. The goal of object detection is to find an object of a pre-defined class in a static image or video frame. Methods. Simple objects Extracting certain image features, such as edges, color regions, textures, contours, etc.

1.04k views • 9 slides