Sensors
Visual tracking methods have achieved a successful development in recent years. Especially the Discriminative Correlation Filter (DCF) based methods have significantly advanced the state-of-the-art in tracking. The advancement in DCF tracking performance is predominantly attributed to powerful features and sophisticated online learning formulations. However, it would come to some troubles if the tracker learns the samples indiscriminately.
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A novel surface-enhanced Raman scattering substrate based on integrated circuit (IC) process was designed, using photolithography, etching and other processes on the silicon wafer processing. Its surface morphology and Raman activity were characterized and tested. The relationship between the substrate’s photolithographic pattern and its Raman activity, stability and reproducibility has been analyzed and verified.
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The CREATE database is composed of 14 hours of multimodal recordings from a mobile robotic platform based on the iRobot Create.
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2361 Views
The dataset contains depth frames collected using Microsoft Kinect v1 during the execution of food and drink intake movements.
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396 Views
The dataset contains depth frames collected using Microsoft Kinect v1 during the execution of food and drink intake movements.
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313 Views
The dataset contains depth frames and skeleton joints collected using Microsoft Kinect v2 and acceleration samples provided by an IMU during the execution of the timed up and go test.
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1725 Views
The dataset contains depth frames and skeleton joints collected using Microsoft Kinect v2 and acceleration samples provided by an IMU during the simulation of ADLs and falls.
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15447 Views
The dataset contains depth frames collected using Microsoft Kinect v1 in top-view configuration and can be used for fall detection.
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2902 Views
The TMC maintains a map of traffic speed detectors throughout the City. The speed detector themselves belong to various city and state agencies. The Traffic Speeds Map is available on the DOT's website. This data feed contains 'real-time' traffic information from locations where DOT picks up sensor feeds within the five boroughs, mostly on major arterials and highways. DOT uses this information for emergency response and management.
The metadata defines the fields available in this data feed and explains more about the data.
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2860 Views