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# Real-Time Object Detection Edit

40 papers with code · Computer Vision

Real-time object detection is the task of doing object detection in real-time with fast inference while maintaining a base level of accuracy.

( Image credit: CenterNet )

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# Real Time Detection of Small Objects

17 Mar 2020

The existing real time object detection algorithm is based on the deep neural network of convolution need to perform multilevel convolution and pooling operations on the entire image to extract a deep semantic characteristic of the image.

# AU-AIR: A Multi-modal Unmanned Aerial Vehicle Dataset for Low Altitude Traffic Surveillance

31 Jan 2020

As a result of this, several aerial datasets have been introduced, including visual data with object annotations.

# Real-Time Object Detection and Recognition on Low-Compute Humanoid Robots using Deep Learning

20 Jan 2020

In this paper, we describe a novel architecture that enables multiple low-compute NAO robots to perform real-time detection, recognition and localization of objects in its camera view and take programmable actions based on the detected objects.

# Real-Time Object Detection and Localization in Compressive Sensed Video on Embedded Hardware

18 Dec 2019

Though cameras that perform compressive sensing save a lot of bandwidth at the time of sampling and minimize the memory required to store videos, we cannot do much in terms of processing until the videos are reconstructed to the original frames.

# Deep SCNN-based Real-time Object Detection for Self-driving Vehicles Using LiDAR Temporal Data

17 Dec 2019

In this paper, we integrate spiking convolutional neural network (SCNN) with temporal coding into the YOLOv2 architecture for real-time object detection.

# Mixture-Model-based Bounding Box Density Estimation for Object Detection

28 Nov 2019

Instead, the mixture components are automatically learned to represent the distribution of the bounding box through density estimation.

# Deriving star cluster parameters with convolutional neural networks. II. Extinction and cluster/background classification

22 Nov 2019

The CNN was tested on mock images of artificial clusters and has demonstrated reliable inference results for clusters of ages $\lesssim$100 Myr, extinctions $A_V$ between 0 and 3 mag, masses between $3\times10^3$ and $3\times10^5$ ${\rm M_\odot}$, and sizes between 0. 04 and 0. 4 arcsec at the distance of the M83 galaxy.

# A Proposed Artificial intelligence Model for Real-Time Human Action Localization and Tracking

9 Nov 2019

The basic foundation of the proposed model is the utilization of motion vectors, which already exist in a compressed video bit stream and provide sufficient information to improve the localization of the target action without requiring high consumption of computational resources compared with other popular methods of extracting motion information, such as optical flows.

# xYOLO: A Model For Real-Time Object Detection In Humanoid Soccer On Low-End Hardware

8 Oct 2019

With the emergence of onboard vision processing for areas such as the internet of things (IoT), edge computing and autonomous robots, there is increasing demand for computationally efficient convolutional neural network (CNN) models to perform real-time object detection on resource constraints hardware devices.

# A Deep Learning Framework for Detection of Targets in Thermal Images to Improve Firefighting

8 Oct 2019

Intelligent detection and processing capabilities can be instrumental to improving the safety, efficiency, and successful completion of rescue missions conducted by firefighters in emergency first response settings.