In S502, Video Frames are Acquired
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本公开实施例涉及计算机技术领域,尤其涉及一种目标跟踪方法及装置、目标选择方法、计算机可读存储介质及电子设备。 Embodiments of the current disclosure relate to the field of pc expertise, and iTagPro website in particular, to a target monitoring methodology and gadget, a goal selection methodology, a pc-readable storage medium, and electronic equipment. 目标检测广泛应用于机器人导航、智能视频监控、工业检测、航空航天等诸多领域,它是图像处理和计算机视觉学科的重要分支,也是智能监控系统的核心部分。
同时目标检测也是泛身份识别领域的一个基础性的算法,对后续的人脸识别、步态识别、人群计数、实例分割等任务起着至关重要的作用。 以神经网络为主要模型的深度学习目标检测算法得到了较为快速的发展。 Object detection is widely used in robot navigation, intelligent video surveillance, industrial inspection, aerospace and many different fields. It is an important branch of image processing and laptop imaginative and prescient disciplines, ItagPro and is also the core part of intelligent surveillance systems. At the same time, target detection can also be a basic algorithm in the field of pan-identification, iTagPro website which performs an important position in subsequent tasks resembling face recognition, gait recognition, iTagPro website crowd counting, and instance segmentation.
The deep studying object detection algorithm based mostly on the neural community as the primary mannequin has been developed relatively rapidly. 需要说明的是,在上述背景技术部分公开的信息仅用于加强对本公开实施例的背景的理解,因此可以包括不构成对本领域普通技术人员已知的现有技术的信息。 It should be famous that the information disclosed in the above background expertise part is just used to reinforce the understanding of the background of the embodiments of the current disclosure, and subsequently might include data that doesn't constitute prior art recognized to those of strange talent within the art. 本公开实施例的目的在于提供一种目标跟踪方法及装置、目标选择方法、计算机可读存储介质及电子设备,至少在一定程度上克服相关技术中目标检测无法同时优化检测准确度与检测耗时的缺点。
The purpose of the embodiments of the present disclosure is to offer a goal tracking technique and machine, a goal choice technique, a computer-readable storage medium, and an digital system, a minimum of to a certain extent, to beat the shortcoming to concurrently optimize the detection accuracy and time-consuming detection in target detection in related applied sciences Shortcomings. 本公开实施例的其他特性和优点将通过下面的详细描述变得显然,或部分地通过本公开实施例的实践而习得。 Other options and advantages of the embodiments of the current disclosure can be obvious from the following detailed description, or partly realized by practicing the embodiments of the present disclosure. 根据本公开实施例的第一个方面,提供一种目标跟踪方法,上述方法包括:获取视频帧,通过第一检测模块对上述视频帧进行目标检测处理,得到上述视频帧中的N个检测目标,以及每个上述检测目标的第一坐标信息,其中,N为正整数;根据上述第一坐标信息获取上述视频帧中的局部图像,得到第i检测目标对应的第i图像;通过第二检测模块对上述第i图像进行目标检测处理,以获取上述第i检测目标的第二坐标信息,其中,上述第i检测目标为上述N个检测目标中的任意一个,i取值为不大于N的正整数;通过上述第i检测目标的第二坐标信息实现上述第i检测目标的跟踪。
In keeping with the primary facet of the embodiments of the present disclosure, there's offered a target monitoring method, the above-talked about methodology contains: buying a video body, performing target detection processing on the above-talked about video frame by a primary detection module, and obtaining N detected targets in the above-mentioned video frame , and the primary coordinate information of every of the above-mentioned detection targets, wherein, N is a optimistic integer; in keeping with the above-mentioned first coordinate information, the partial picture within the above-mentioned video body is obtained, iTagPro website and iTagPro website the i-th image corresponding to the i-th detection goal is obtained; via the second detection The module performs target detection processing on the above-talked about i-th picture to acquire the second coordinate info of the above-mentioned i-th detection target, whereby the above-talked about i-th detection goal is any one of the above-talked about N detection targets, and the worth of i isn't greater than N A constructive integer; the monitoring of the i-th detection target is realized via the second coordinate data of the i-th detection target.
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