https://github.com/Yan98/Event-Camera-Data-Pre-training 事件相机(Event Camera)是一种新型传感器。不同于传统的RGB相机记录的是场景的像素亮度,输出稠密、低频的图像帧,事件相机记录的是像素亮度的变化,输出稀疏、高频的事件流。与RGB相机相比,事件相机具有高的动态范围和时间分辨率,并且对光照变化和运动模糊具有...
IPMV 2022Event Camera Survey and Extension Application to Semantic Segmentation ECCV 2022ESS: Learning Event-Based Semantic Segmentation from Still Images TITS 2022Exploring Event-Driven Dynamic Context for Accident Scene Segmentation NCS 2022Beyond Classification: Directly Training Spiking Neural Networks for...
The framework contains an offline-trained detector and an online-trained tracker which complement each other: The detector benefits from pre-labelled data during training, but may have false or missing detections; the tracker provides persistent results for each initialised object but may suffer from ...
Remote camera control Language translation Live Q&A, polls and surveys Event and sponsor gamification Lead scanning and generation Networking/meeting matching Organiser run sheets Post-Event Automatically record sessions Access live attendance stats
The data was gen- erated by the event simulator ESIM [31], and consists of 1,000 sequences of 2 seconds each (950 training, 50 valida- tion). MS-COCO images [20] were mapped to a 3D plane and random 6-DOF (simulated) camera motions were used to trigger events. To simulat...
DDD20 End-to-End Event Camera Driving Dataset Seehttps://sites.google.com/view/davis-driving-dataset-2020/homefor details. Software released as part of the publication Hu, Y., Binas, J., Neil, D., Liu, S.-C., and Delbruck, T. (2020). "DDD20 End-to-End Event Camera Driving Dat...
The event-based optical flow dataset In order to create a realistic event dataset for optical flow learning, we propose to employ a graphics engine with 3D scenes for data generation. Given 3D scenes, we first define camera trajectories, according to which we generate ...
The TRECVid-SED also has provided an eleven-hour subset of the multi-camera data for the primary evaluation. Fig. 2 Captured SED video from 5 Gatwick airport locations 1) access door; 2) waiting area; 3) people waiting outside fences; 4) elevator close-up; 5) transit area Full size...
Share ideas, get leads, or provide training to an audience Provides a registration report to help gauge who is likely to attend Provides a structured meeting, with clearly defined meeting roles Provides attendee engagement data Use interactive chat during and includes multiple presenters in the meeti...
Sudden changes in the speed and direction of the object’s motion or sudden camera motion are another challenges in object detection and tracking. If the object or camera moves very slowly, the temporal differencing methods may fail to detect the portions of the object coherent to background. ...