公开(公告)号：WO2021107763A1

公开(公告)日：2021-06-03

申请号：PCT/MY2020/050122

申请日：2020-10-28

Applicant: MIMOS BERHAD

Inventor： YUEN, Shang Li ,  MOKAYED, Hamam ,  HASAN, Hasmarina ,  SAMAON, Den Fairol ,  HON, Hock Woon

IPC: G06K9/00 ,  G06K9/40 ,  G06T5/00

Abstract: The present invention relates to a system and method for for processing a moving image. The system (10) comprises an input unit (11) for receiving an image frame of the moving image, a parsing unit (12) for parsing the image frame into one or more image patches of preset dimensions, and a filtering unit (13) for processing each image patch to identify and extract an identification (ID) data if the ID data is captured in the image patches. A storage device (14) connected to the filtering unit (13) stores the pre-classified noise patches, wherein the filtering unit (13) updates the storage device (14) with image patches identified as noise patches during each process cycle.

公开(公告)号：WO2016022020A1

公开(公告)日：2016-02-11

申请号：PCT/MY2015/050080

申请日：2015-07-29

Applicant: MIMOS BERHAD

Inventor： YUEN, Shang Li ,  BINTI KADIM, Zulaikha ,  BINTI SAMUDIN, Norshuhada ,  HON, Hock Woon

IPC: H05B37/03 ,  H05B37/02

CPC classification number: H05B37/032 ,  H05B37/0245

Abstract: The present invention provides a system having a video camera, a location sensor and a monitor for monitoring streetlights and reporting location of un-illuminated streetlights comprising; a video acquisition unit (2) to extract video images and convert them into a image frames from the camera; a location acquisition unit (4) to extract location and orientation information from the location sensor; a video storage (5) to record the image frames from the video acquisition unit (2); a location storage (6) to record the location and orientation information from the location acquisition unit (4); a database having a region of interest (ROI) information and streetlight locations information; a streetlight detector (8) to identify any unilluminated streetlight based on the streetlight locations information; a reporting unit (9) to display the location of unilluminated streetlights on the monitor (10); and a map generator unit (7), wherein the map generator (7) generates a map based on the region of interest (ROI) information and streetlight locations information using the image frames from the video storage (5) and location and orientation information from location acquisition unit (4) to display at the monitor (10), in which the streetlight detector (8) detect the unilluminated streetlight based on the map and report using reporting unit (9). Further, the streetlight detector (8) uses Hough transform technique to identify any unilluminated streetlight. Preferably, the map generator unit (7) is a geographic information system (GIS). Preferably, the location acquisition unit (4) is a Global Positioning System (GPS) received. Preferably, the streetlight detector is a photodetector.

Abstract translation: 本发明提供了一种具有摄像机，位置传感器和监视器的系统，用于监视路灯并报告未被照明的路灯的位置，包括： 视频获取单元（2），用于提取视频图像并将其转换成来自相机的图像帧; 位置获取单元（4），用于从所述位置传感器提取位置和方向信息; 视频存储器（5），用于记录来自视频获取单元（2）的图像帧; 位置存储器（6），用于记录来自位置获取单元（4）的位置和方向信息; 具有感兴趣区域（ROI）信息和路灯位置信息的数据库; 基于路灯位置信息来识别任何未发光的路灯的路灯检测器（8）; 报告单元（9），用于在监视器（10）上显示未照明路灯的位置; 和地图生成单元（7），其中，所述地图生成器（7）使用来自所述视频存储器（5）的图像帧，基于所述感兴趣区域（ROI）信息和路灯位置信息生成地图，以及来自 位置获取单元（4）在监视器（10）处显示，其中路灯检测器（8）基于地图检测未发光的路灯并且使用报告单元（9）报告。 此外，路灯检测器（8）使用霍夫变换技术来识别任何未照射的路灯。 优选地，地图生成单元（7）是地理信息系统（GIS）。 优选地，位置获取单元（4）是接收到的全球定位系统（GPS）。 优选地，路灯检测器是光电检测器。

公开(公告)号：WO2014119991A1

公开(公告)日：2014-08-07

申请号：PCT/MY2014/000012

申请日：2014-01-29

Applicant: MIMOS BERHAD

Inventor： CHAN, Ching Hau ,  CHOONG, Teck Liong ,  YUEN, Shang Li

IPC: G01S3/786 ,  G08B13/196 ,  H04N7/18

CPC classification number: H04N7/181 ,  G01S3/7864 ,  G08B13/19608

Abstract: A surveillance camera system contemplated in our invention includes at least one steerable or PTZ camera (305) and a plurality of static or fixed view cameras (303), comprising individual static cameras SCI, SC2, SC3 which are configured or implemented to automatically select and track an object 307 last detected by any one of the cameras. Our method comprises the following steps or process stages, enumerated as F1 to F6 for reference: F1 - Listen for incoming event-detection message, i.e. when an object of interest is detected. F2 - If only one event is detected, the object-tracking data or information is then derived from the object-detection message and the process proceeds to F6 below; if more than one event is detected, proceeds to F3. F3 - The user selects from among the multiple objects detected a global target the particular target to be tracked by the system overriding all other objects previously detected and tracked by the system. F4 - Local offset of the selected target is then determined. F5 - Object-tracking data is then obtained from the target whereby the pan, tilt and zoom (PTZ) movement commands may be derived. F6 - The derived PTZ commands is sent to the steerable camera to start tracking the user selected target.

Abstract translation: 本发明中考虑的监视摄像机系统包括至少一个可操纵或PTZ摄像机（305）和多个静态或固定视野摄像机（303），其包括单独的静态摄像机SCI，SC2，SC3，其配置或实现为自动选择和 跟踪由任何一个相机最后检测到的对象307。 我们的方法包括以下步骤或过程阶段，列举为F1至F6供参考：F1 - 监听传入事件检测消息，即当检测到感兴趣的对象时。 F2 - 如果仅检测到一个事件，则从对象检测消息导出对象跟踪数据或信息，并且处理进行到下面的F6; 如果检测到多个事件，则转到F3。 F3 - 用户从多个对象中选择检测到全局目标由系统覆盖以前由系统检测和跟踪的所有其他对象要跟踪的特定目标。 F4 - 然后确定所选目标的局部偏移。 F5 - 然后从目标获得对象跟踪数据，由此可以导出摇摄，倾斜和变焦（PTZ）移动命令。 F6 - 派生的PTZ命令发送到可控摄像机，开始跟踪用户选择的目标。

公开(公告)号：WO2014112862A3

公开(公告)日：2014-07-24

申请号：PCT/MY2014/000005

申请日：2014-01-13

Applicant: MIMOS BERHAD

Inventor： CHAN, Ching Hau ,  CHOONG, Teck Liong ,  YUEN, Shang Li

IPC: G08B13/196

Abstract: The present invention relates to a system (100) for determining priority of visuals (220) and a method thereof. The system (100) comprises a plurality of visual capturing components (10) for capturing visuals (220); an event detecting component (50) for detecting events in the visuals (220) associated with each of the visual capturing component (10) and a visual priority determining component (110) for determining the priority of the visuals (220) of the visual capturing component (10) based on a set of parameters.

公开(公告)号：WO2014042514A2

公开(公告)日：2014-03-20

申请号：PCT/MY2013/000159

申请日：2013-09-06

Applicant: MIMOS BERHAD

Inventor： ZULAIKHA, Binti Kadim ,  NORSHUHADA, Binti Samudin ,  HON, Hock Woon ,  YUEN, Shang Li ,  LIANG, Kim Meng

IPC: G06K9/00

CPC classification number: G06K9/00771 ,  G08B13/19604 ,  G08B29/046

Abstract: The present invention relates to a surveillance system having a method for tampering detection and correction. The surveillance system is able to detect tampering of the camera view and thereon, adjust its video analytics configuration parameters to perform video analytics even though the orientation of the camera (10) has been changed as long as a partial of the ROI is within the tampered camera view. The surveillance system comprises of at least one camera (10), a video acquisition module (20), a storage device (30), an image processing module (40), a display module (50) and a post detection module (60).

Abstract translation: 本发明涉及一种具有篡改检测和校正方法的监视系统。 即使相机（10）的方向已经改变，只要ROI的一部分在被篡改的情况下，监控系统能够检测相机视图的篡改及其上，调整其视频分析配置参数以执行视频分析 相机视图。 监视系统包括至少一个摄像机（10），视频采集模块（20），存储设备（30），图像处理模块（40），显示模块（50）和后检测模块（60） 。

公开(公告)号：WO2022019747A1

公开(公告)日：2022-01-27

申请号：PCT/MY2020/050188

申请日：2020-12-02

Applicant: MIMOS BERHAD

Inventor： MOKAYED, Hamam ,  HON, Hock Woon ,  HASAN, Hasmarina ,  YUEN, Shang Li

IPC: G06K9/32 ,  G06N3/08

Abstract: The present invention discloses a system and a method for identifying a text region in a video captured by a moving or still camera. The system comprises a video acquisition unit to obtain images recorded in an input video, an image processing unit comprising a seed point extraction unit and a text box determination unit to identify seed points of the images and locate potential text regions therefrom, and an inferencing unit comprising a classification module to characterize and verify the potential text regions. The seed point extraction unit comprises a statistical moment analysis module, a K-means clustering module, a N x N kernel for convolution module and a linearity evaluation module.

公开(公告)号：WO2021261985A1

公开(公告)日：2021-12-30

申请号：PCT/MY2020/050159

申请日：2020-11-18

Applicant: MIMOS BERHAD

Inventor： HON, Hock Woon ,  YUEN, Shang Li ,  LIANG, Kim Meng

IPC: G08B13/196 ,  G06K9/00 ,  G06N20/00

Abstract: The present invention relates to a system (1000) and method for classifying level of aggressiveness. The system is configured to classify an aggressive behaviour into a level of aggressiveness based on a video stream. The system comprises a video acquisition unit (10) configured to acquire at least one video stream from at least one video source, an image processing unit (20) configured to convert the at least one video stream into a sequence of image frames and performs data formatting on the sequence of image frames to generate a plurality of volumetric rectangular prisms and an image representation for each of the volumetric rectangular prisms, a training unit (30) configured to perform data training on the plurality of volumetric rectangular prisms and the image representation of each of the volumetric rectangular prisms using a machine learning model and a deep learning model, and an online inferencing unit (40) configured to perform an online fusion of the machine learning model and the deep learning model.

公开(公告)号：WO2021107764A1

公开(公告)日：2021-06-03

申请号：PCT/MY2020/050123

申请日：2020-10-28

Applicant: MIMOS BERHAD

Inventor： YUEN, Shang Li ,  LIANG, Kim Meng ,  CHIEN, Su Fong ,  HON, Hock Woon

IPC: G08B13/196 ,  G08B25/00 ,  H04N7/18

Abstract: The present invention relates to a machine learning-based system and method for for processing a moving image. The system (10) comprises an input unit (11) for receiving two more image frames of the moving image, wherein the moving image includes one or more subjects being monitored. A processing unit (12) processes the received image frames to predict an incident, wherein the incident is a fight or quarrel between two or more people in the moving image. An output unit (13) outputs prediction result, wherein an alert message is outputted as the prediction result if the incident is predicted.