Building fences to manage the cattle grazing can be very expensive;cost inefficient. These do not provide dynamic control over the area in which the cattle are grazing. Existing virtual fencing techniques for the cont...Building fences to manage the cattle grazing can be very expensive;cost inefficient. These do not provide dynamic control over the area in which the cattle are grazing. Existing virtual fencing techniques for the control of herds of cattle, based on polygon coordinate definition of boundaries is limited in the area of land mass coverage and dynamism. This work seeks to develop a more robust and an improved monocular vision based boundary avoidance for non-invasive stray control system for cattle, with a view to increase land mass coverage in virtual fencing techniques and dynamism. The monocular vision based depth estimation will be modeled using concept of global Fourier Transform (FT) and local Wavelet Transform (WT) of image structure of scenes (boundaries). The magnitude of the global Fourier Transform gives the dominant orientations and textual patterns of the image;while the local Wavelet Transform gives the dominant spectral features of the image and their spatial distribution. Each scene picture or image is defined by features v, which contain the set of global (FT) and local (WT) statistics of the image. Scenes or boundaries distances are given by estimating the depth D by means of the image features v. Sound cues of intensity equivalent to the magnitude of the depth D are applied to the animal ears as stimuli. This brings about the desired control as animals tend to move away from uncomfortable sounds.展开更多
为了在自行车转向或变道时,实现无需左右回头观察即可了解后方路况,设计了一套便于骑行者感知车后具体情况的自行车后视系统.该系统可分为车尾探测装置与终端反应手套,主要由USB摄像头与执行模块构成,并采用了you only look once(YOLO)v...为了在自行车转向或变道时,实现无需左右回头观察即可了解后方路况,设计了一套便于骑行者感知车后具体情况的自行车后视系统.该系统可分为车尾探测装置与终端反应手套,主要由USB摄像头与执行模块构成,并采用了you only look once(YOLO)v4目标检测算法.通过在自行车车尾安装检测设备,与骑手的特制手套进行无线通信,从而传递车后方探测到的有关安全状况的紧急信息.实验结果表明:该系统能够对后方的行进车辆进行多目标检测及警告优先级目标,并在足够的安全距离内识别率较高.展开更多
文摘Building fences to manage the cattle grazing can be very expensive;cost inefficient. These do not provide dynamic control over the area in which the cattle are grazing. Existing virtual fencing techniques for the control of herds of cattle, based on polygon coordinate definition of boundaries is limited in the area of land mass coverage and dynamism. This work seeks to develop a more robust and an improved monocular vision based boundary avoidance for non-invasive stray control system for cattle, with a view to increase land mass coverage in virtual fencing techniques and dynamism. The monocular vision based depth estimation will be modeled using concept of global Fourier Transform (FT) and local Wavelet Transform (WT) of image structure of scenes (boundaries). The magnitude of the global Fourier Transform gives the dominant orientations and textual patterns of the image;while the local Wavelet Transform gives the dominant spectral features of the image and their spatial distribution. Each scene picture or image is defined by features v, which contain the set of global (FT) and local (WT) statistics of the image. Scenes or boundaries distances are given by estimating the depth D by means of the image features v. Sound cues of intensity equivalent to the magnitude of the depth D are applied to the animal ears as stimuli. This brings about the desired control as animals tend to move away from uncomfortable sounds.
文摘为了在自行车转向或变道时,实现无需左右回头观察即可了解后方路况,设计了一套便于骑行者感知车后具体情况的自行车后视系统.该系统可分为车尾探测装置与终端反应手套,主要由USB摄像头与执行模块构成,并采用了you only look once(YOLO)v4目标检测算法.通过在自行车车尾安装检测设备,与骑手的特制手套进行无线通信,从而传递车后方探测到的有关安全状况的紧急信息.实验结果表明:该系统能够对后方的行进车辆进行多目标检测及警告优先级目标,并在足够的安全距离内识别率较高.
