PPT-Generic Object Detection using Feature Maps

Oscar Danielsson osda02kthse Stefan Carlsson stefanckthse Outline Detect all Instances of an Object Class The classifier needs to be fast on average This is typically accomplished by. Binarized. Normed Gradients for . Objectness. Estimation at 300fps. CVPR 2014 Oral. Outline. 1. . Introduction. 2.. . Methodology. 2.1 Normed . gradients (NG) and . objectness. 2.2 Learning . objectness. Can you detect an abrupt change in this picture?. Ludmila. I . Kuncheva. School of Computer Science. Bangor University. Answer – at the end. Plan. Zeno says there is no such thing as change.... If change exists, is it a good thing?. for Object Detection. Forrest Iandola, . Ning. Zhang, Ross . Girshick. , Trevor Darrell, and Kurt . Keutzer. Deformable Parts Model (DPM): state of the art algorithm for object detection [1]. Several attempts to accelerate multi-category DPM detection, such as [2] [3]. Image Processing. Pier Luigi Mazzeo. pierluigi.mazzeo@cnr.it. Image Rotation &. Object . Detection . Find. Image . Rotation. and Scale Using . Automated. . Feature. . Matching. and RANSAC. Step. Facebook AI Research. Wenchi. Ma. Data: 11/04/2016. More information from object detection. More information from object detection. More information from object detection. Object Detection for now with Deep Learning. 1. Content. What is . OpenCV. ?. What is face detection and . haar. cascade classifiers?. How to make face detection in Java using . OpenCV. Live Demo. Problems in face detection process. How to improve face detection. . Presenter: Alicia McGee. Email: . amcgee@mobilemcps.org. Make a copy of this to take notes!. Maps and Geography . We want students to become global students….. So….. Students should be able to:. 1. What is it?. Generics enable you to detect errors at compile time . r. ather than at runtime. . With this capability, you can define . a class, . interfance. . or a method with generic types that the compiler can replace with concrete types. . Ragesh. Kumar Ramachandran and Spring Berman. Autonomous collective systems Laboratory. Robotic Embedded Systems Laboratory. Motivation. Basic idea. Scalar field associated with occupancy grid maps.. Visualizing 3D Surfaces. Carol J. Ormand. , . SERC, Carleton College. Eric Riggs, Texas A&M University. Overview. What do we mean when we talk about “reading” contour maps?. Example: the Topographic Map Assessment. How to read a map. Maps . are pictures of the Earth's . surface. Reference maps . just . show natural features like rivers, cities, political subdivisions and highways. .. Thematic maps . use these items only . 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. 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. 1. Motivation: Generic . object detection. The oldest map?. Konya . town map, Turkey, c. 6200 BC. Milestones Project. http://www.math.yorku.ca/SCS/Gallery/milestone/. The First World Map. Anaximander of Miletus, Turkey, c. 550 BC. Milestones Project.