PPT-Object detection The Task

person 1 person 2 horse 1 horse 2 RCNN Regions with CNN features Input image Extract region proposals 2k image Compute CNN features Classify regions linear SVM Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation. Video Analytics. Why Video Analytics?. The increasing rate of crime calls for effective security measures.. Security Personnel, IP Cameras, CCTV are usually employed for these reasons.. But Human vigilance is required in each case which is bound to induce errors. . :. Detecting Real-World States with Lousy Wireless Cameras. Benjamin Meyer, . Richard Mietz. , Kay Römer. 1. Introduction. Motivation. Challenges. System Architecture. Evaluation. Structure. 2. Towards the Internet of Things. Large Scale Visual Recognition Challenge (ILSVRC) 2013:. Detection spotlights. Toronto A team. Latent Hierarchical Model with GPU Inference for Object Detection. Yukun Zhu, Jun Zhu, Alan Yuille . UCLA Computer Vision Lab. 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 . Compositional bias of salient object detection benchmarking. Xiaodi. . Hou. K-Lab, Computation and Neural Systems. California Institute of Technology. for the Crash Course on Visual Saliency Modeling:. Before deep . convnets. Using deep . convnets. PASCAL VOC. Beyond sliding windows: Region proposals. Advantages:. Cuts . down on number of regions detector must . evaluate. Allows detector to use more powerful features and classifiers. 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. Before deep . convnets. Using deep . convnets. PASCAL VOC. Beyond sliding windows: Region proposals. Advantages:. Cuts . down on number of regions detector must . evaluate. Allows detector to use more powerful features and classifiers. Towards a Masquerade Detection System Based on User’s Tasks J. Benito Camiña , Jorge Rodr íguez, and Raúl Monroy Presentation by Calvin Raines What is a masquerade attack? password123 Hello <Your Name Here> AdaScale: Towards Real-time Video Object Detection using Adaptive Scaling Ting-Wu (Rudy) Chin* Ruizhuo Ding* Diana Marculescu ECE Dept., Carnegie Mellon University SysML 2019 Autonomous Cars . for Robust Object Detection. Jiankang. Deng, . Shaoli. Huang, Jing Yang, . Hui. . Shuai. , . Zhengbo. Yu, . Zongguang. Lu, . Qiang. Ma, . Yali. Du, . Yi Wu. , . Qingshan. Liu, . Dacheng. Tao. Source:. TG-Endoscopy Topic Driver. Title:. Att.3 – Presentation (TG-Endoscopy). Purpose:. Information. Contact:. Jianrong Wu. Tencent Healthcare, China. E-mail: . edwinjrwu@tencent.com. Abstract:. 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. 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 .