Methods, devices and systems for detecting suspicious or performance-degrading mobile device behaviors intelligently, dynamically, and/or adaptively determine computing device behaviors that are to be observed, the number of behaviors that are to be observed, and the level of detail or granularity at which the mobile device behaviors are to be observed. The various aspects efficiently identify suspicious or performance-degrading mobile device behaviors without requiring an excessive amount of processing, memory, or energy resources.

Adaptive Observation of Behavioral Features on a Mobile Device

A method that integrates sensor data and video analysis to analyze object motion. Motion capture elements generate motion sensor data for objects of interest, and cameras generate video of these objects. Sensor data and video data are synchronized in time and aligned in space on a common coordinate system. Sensor fusion is used to generate motion metrics from the combined and integrated sensor data and video data. Integration of sensor data and video data supports robust detection of events, generation of video highlight reels or epic fail reels augmented with metrics that show interesting activity, and calculation of metrics that exceed the individual capabilities of either sensors or video analysis alone.

Integrated sensor and video motion analysis method

An image processing method. The method includes receiving, at a client terminal, a user request for displaying one or more outfit designs; identifying at least one matching condition associated with the outfit designs; sending a request for image information to a server, wherein the request includes the at least one matching condition; receiving the image information from the server, wherein the image information includes three-dimensional image information of an apparel item and one or more matching apparel items; and displaying one or more outfit images based on the three-dimensional image information and a preset template.

Image processing method and apparatus

The invention discloses a method distinguishing identities of access users, and a device. The method comprises acquiring a plurality of behavior characteristic information of a current access user, acquiring a legal characteristic probability value and an illegal characteristic probability value of each behavior characteristic information in a sample database, performing a condition probability calculation according to the legal characteristic probability value and the illegal characteristic probability value of each behavior characteristic information to obtain a legal access probability value and an illegal access probability value of the current access user, and comparing the legal access probability value of the current access user and the illegal access probability value of the current access user to determine the current access user to be a legal access user or to be an illegal access user. Through adoption of the method and the device, the technical problem of poor accuracy of the fact that the user is determined to be the legal user or the illegal user in the prior art is solved, the effect that the user is accurately determined to be the legal user or the illegal user is achieved, and then the missing judgment rate and the misjudgment rate for the illegal user are reduced.

Method distinguishing identities of access users, and device

The invention relates to a rapid behavior identification method and system. According to the method, during the training process, a feature extraction algorithm with low computation complexity is used and dimensionality reduction and normalization are carried out on an obtained feature matrix by using various dimensionality reduction ways, thereby reducing the processing time. During the identification process, a captured video is processed by using an algorithm identical with that applied to the training process; and then the processed video is placed into a model obtained by training to carry out detection and identification. In addition, the system is composed of a video acquisition module, an off-line learning module, a behavior identification module, a multi-thread processing module and a video display module. With a sliding window mechanism, a video captured in real time is processed into a plurality of video clips; and each video clip is processed during behavior identification to guarantee real-time updating of an identification result. Meanwhile, multi-thread processing is carried out on the feature extraction and feature coding process with high computation complexity to guarantee the real-time property of processing identification, so that behaviors occurring in the video can be identified and display visually, rapidly and accurately. The operation is convenient and convenient extension can be realized.

Rapid behavior identification method and system

The invention discloses an intelligent video monitoring system based on behavior recognition. The system can automatically monitor threats and carry out detection, track, classification and object analysis on a goal scene. The system is composed of five parts: a video collection module, a video treatment module, a behavior recognition module based on a Bayesian classification algorithm, an upper computer management platform and an alarm module. In the invention, an image treatment technology is adopted so that the image quality is improved; a moving object is separated through a method based on threshold segmentation and a background environment selection function is added; behavior recognition and anomaly detection are carried out through a behavior recognition rule based on a Bayesian classification method; the method is simple, the classification accuracy is high, and the classification speed is high; and the video monitoring system is controlled via an upper computer operating system so as to be convenient to operate and easy to expand.

Intelligent video monitoring system based on behavior recognition

The invention discloses a real-time loitering detection method based on dynamic programming, which belongs to the field of real-time video detection. The method comprises: firstly, extracting the feature points of an image of the current frame; secondly, carrying out SSDA (sequential similarity detection algorithm) matching between the extracted feature points and an image of the previous frame to detect the corresponding matched feature points; then, carrying out feature point trajectory tracking of dynamic programming; evaluating each trajectory by an evaluation function; detecting the evaluation function value of each trajectory; determining that a loitering target occurs in the monitored area if the evaluation function value exceeds a set loitering threshold; and displaying the loitering trajectory and sending an alarm instruction. The method provided by the invention can effectively improve the loitering target recognition capability without needing a large amount of prior information, is easy to realize, is less influenced by the background of the monitored area, and has the advantages of stable and reliable performance and less calculation amount.

Real-time loitering detection method based on dynamic programming

The utility model discloses a modularized multi-serial port expanding device, which comprises an information processing unit, a series-parallel conversion unit and a serial port driving unit, wherein, the information processing unit is upwardly connected with a serial port at a high level, and is downwardly connected with the series-parallel conversion unit; and the series-parallel conversion unit is used for connecting the signal processing unit and the serial port driving unit, and is downwardly connected with an expanding serial port through the serial port driving unit The modularized multi-serial port expanding device realizes the expanding of the serial ports easily, when the serial ports provided by a microprocessor or a main board can not meet the requirement

Jiang Bin

Papers

Intelligent video monitoring system based on behavior recognition

Real-time loitering detection method based on dynamic programming

Modularized multi-serial port expanding device