Analysis of Object Detection Methods to Detect Traffic Flow

机译：对物体检测方法分析检测交通流量

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Traffic analysis has received more interest as smart cities become a reality. A key component of traffic analysis is detecting the amount of cars that pass certain points. However, limited research exists that explores methods for the car detection component in these systems. This paper will discuss different computer vision methods that can be used for the detection and analysis of vehicles on the road for active traffic flow analysis and implements them in an experiment to find the best method for the task of car detection. MobileNet and Haar-Cascade based methods are implemented and a compared according to performance and accuracy levels in real-world scenarios. Lastly, the results achieved from the experimental model will be discussed giving detail to why Haar cascade gives better performance and accuracy in most scenarios with an average frame rate of over 40 fps on HD video.

机译：随着智能城市成为现实，交通分析受到更多兴趣。交通分析的关键组成部分正在检测通过某些点的汽车量。然而，存在有限的研究，探讨了这些系统中的汽车检测组件的方法。本文将讨论不同的计算机视觉方法，可用于检测和分析道路上的车辆，用于主动交通流程分析，并在实验中实现它们，以找到汽车检测任务的最佳方法。 MobileNet和Haar-Cascade基于基于的方法和根据现实世界方案的性能和准确度相比进行了比较。最后，将讨论从实验模型中实现的结果，详细阐述为什么Haar Cascade在大多数情况下在大多数情况下提供更好的性能和准确性，平均在高清视频上超过40 fps的帧率。

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《International Conference on Advances in Big Data, Computing and Data Communication Systems》|2019年|1 v.|共7页
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Johan le Roux; Dustin van der Haar;
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中图分类计算技术、计算机技术;
关键词
Roads; Object detection; Feature extraction; Monitoring; Data models; Computer vision; Streaming media;

机译：道路;目标检测;特征提取;监测;数据模型;计算机视觉;流媒体;

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1. Development of Combination Methods for Detecting Malignant Uptakes Based on Physiological Uptake Detection Using Object Detection With PET-CT MIP Images [J] . Masashi Kawakami, Kenji Hirata, Sho Furuya, Frontiers in Medicine . 2020,第a期

机译：基于使用PET-CT MIP图像的物体检测，基于生理摄取检测来检测恶性摄取的组合方法的开发
2. Development of Combination Methods for Detecting Malignant Uptakes Based on Physiological Uptake Detection Using Object Detection With PET-CT MIP Images [J] . Kawakami Masashi, Hirata Kenji, Furuya Sho, Frontiers in Medicine . 2020,第2期

机译：基于使用PET-CT MIP图像的物体检测，基于生理摄取检测检测恶性摄取的组合方法的开发
3. Object detection by spatio-temporal analysis and tracking of the detected objects in a video with variable background [J] . Ray Kumar S., Chakraborty Soma Journal of visual communication & image representation . 2019,第JANa期

机译：通过时空分析进行对象检测并跟踪具有可变背景的视频中的检测到的对象
4. Analysis of Object Detection Methods to Detect Traffic Flow [C] . Johan le Roux, Dustin van der Haar International Conference on Advances in Big Data, Computing and Data Communication Systems . 2019

机译：交通流量检测对象检测方法分析
5. Towards Detecting and Describing Objects: Object Detection, Parsing and Human Pose Estimation [D] . Chen, Xianjie. 2016

机译：朝向检测和描述对象：对象检测，解析和人类姿态估计
6. Development of Combination Methods for Detecting Malignant Uptakes Based on Physiological Uptake Detection Using Object Detection With PET-CT MIP Images [O] . Masashi Kawakami, Kenji Hirata, Sho Furuya, 2020

机译：基于使用PET-CT MIP图像的物体检测基于生理摄取检测检测恶性摄取的组合方法的开发
7. Implementation of moving object detection using angle change method This paper conclude the work in terms of input and output parameter that has been considered while detecting the moving object in video surveillance. It also provides with a look up of our work area. This paper presents a discussion of various techniques like Background subtraction, Block matching, Frame differencing, Optical Flow used in motion detection and also include the comparative analysis of two algorithms first is Colour method(Space vector difference method) and second is angle change method. [O] . 2017

机译：使用角度变化方法的移动物体检测的实现本文在检测视频监控中检测到移动对象的同时考虑的输入和输出参数方面的工作结束。它还提供了我们工作区的抬头。本文提出了与背景减法，块匹配，帧差异，在运动检测中使用的光流等来的各种技术的讨论，并且还包括两个算法的比较分析首先是颜色方法（空间向量差法）和第二是角度变化方法。

Analysis of Object Detection Methods to Detect Traffic Flow

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