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Research on Key Technology for Processing Images from Infrared Trigger Cameras

机译:从红外触发相机处理图像的关键技术研究

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In recent years, infrared trigger cameras are widely employed in the fields of wildlife monitoring and protection as they can collect massive image data. It is of great realistic significance about how to conduct automatic processing of these image data and extract key information. This paper has a detailed analysis about features of images in this type by automatically grouping them based on time intervals in order to eliminate the impact of light intensity on images in different time frames, automatically eliminating the background of those images within the groups and extracting the image area of individual animals (namely Region of Interest, short for ROI) and identifying the image features of these ROI areas in terms of species. The above-mentioned key technique has been tested for many times and achieved quite good results, but still has the potential of further optimization and improvement.
机译:近年来,红外线触发摄像机广泛用于野生动物监测和保护领域,因为它们可以收集大量图像数据。关于如何进行这些图像数据的自动处理并提取密钥信息,它具有很大的逼真意义。本文通过基于时间间隔自动对它们自动分组它们来说,本文对这种类型的特征进行了详细的分析,以便在不同时间帧中消除光强度对图像上的图像的影响,从而自动消除组内那些图像的背景并提取图像区域的个体动物(即兴趣区域,ROI短,识别物种的这些ROI区域的图像特征。上述关键技术已经多次测试并取得了相当好的结果,但仍然具有进一步优化和改进的潜力。

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