Object detection

Real Time Object Detection in Surveillance Cameras with Distance Estimation using Parallel Implementation

Real Time Object Detection in Surveillance Cameras with Distance Estimation using Parallel Implementation

Abstract Object detection is not only shaping how Computers see and analyze things but it is also helping in the behavior of how an object reacts to the change in …

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Multiple Car Detection, Recognition and Tracking in Traffic

Multiple Car Detection, Recognition and Tracking in Traffic

Abstract Multiple Car detection, recognition, and tracking is one of the most rapidly growing systems in image processing used for a video surveillance systems. This has been designed with an …

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Speed Bump Segmentation an Application of Conditional Generative Adversarial Network for Self-driving Vehicles

Speed Bump Segmentation an Application of Conditional Generative Adversarial Network for Self-driving Vehicles

Abstract The intervention of AI technology and self-driving vehicles changed transportation systems. The current self-driving vehicles demand reliable and accurate information from various functional modules. One of the major modules …

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Research on real-time distance measurement of mobile eye tracking system based on neural network

Research on real-time distance measurement of mobile eye tracking system based on neural network

Abstract With the development and application of eye-tracking technology, mobile eye-tracking systems have become more widely used due to their safety and portability. We combine eye-tracking systems with real-time object …

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Auxiliary Detection Head for One-Stage Object Detection

Auxiliary Detection Head for One-Stage Object Detection

Abstract The auxiliary classifier can improve the performance of classification networks. However, the utility of the auxiliary detection head has not been explored in the object detection field. In this …

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Object Detection and Trcacking Based on Convolutional Neural Networks for High-Resolution Optical Remote Sensing Video

Object Detection and Trcacking Based on Convolutional Neural Networks for High-Resolution Optical Remote Sensing Video

Abstract Object detection algorithms, from high-resolution optical remote sensing images, have been booming from the last few years. However, object tracking for high-resolution optical remote sensing video is a challenging …

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