Abstract: A pose tracking method and apparatus are disclosed. The pose tracking method includes obtaining an image of a trackable target having a plurality of markers, detecting first points in the obtained image to which the markers are projected, matching the first points and second points corresponding to positions of the markers in a coordinate system set based on the trackable target based on rotation information of the trackable target, and estimating a pose of the trackable target based on matching pairs of the first points and the second points.

Abstract: A pose estimation method includes obtains an event stream from an event-based vision sensor configured to capture a target object to which light-emitting devices flickering at a predetermined first frequency are attached, obtains a polarity change period of at least one pixel based on the event stream, generates an image frame sequence using at least one target pixel having a polarity change period corresponding to the first frequency, among the at least one pixel, extracts a feature sequence including feature vectors corresponding to the at least one target pixel, from the image frame sequence, and estimates a pose sequence of the target object by applying the feature sequence to a deep neural network (DNN) model.

Abstract: A pose tracking method and apparatus are disclosed. The pose tracking method includes obtaining an image of a trackable target having a plurality of markers, detecting first points in the obtained image to which the markers are projected, matching the first points and second points corresponding to positions of the markers in a coordinate system set based on the trackable target based on rotation information of the trackable target, and estimating a pose of the trackable target based on matching pairs of the first points and the second points.

Abstract: A pose estimation method includes obtains an event stream from an event-based vision sensor configured to capture a target object to which light-emitting devices flickering at a predetermined first frequency are attached, obtains a polarity change period of at least one pixel based on the event stream, generates an image frame sequence using at least one target pixel having a polarity change period corresponding to the first frequency, among the at least one pixel, extracts a feature sequence including feature vectors corresponding to the at least one target pixel, from the image frame sequence, and estimates a pose sequence of the target object by applying the feature sequence to a deep neural network (DNN) model.

Abstract: Energy saving methods and apparatuses of a mobile terminal may be provided, For example, an energy saving method includes monitoring whether the mobile terminal loads a webpage data stream, determining webpage complexity of the webpage data stream, when the webpage data stream is loaded, determining one or more set parameter values, from among a plurality of parameter values of a set of regulation parameters, based on a correspondence relationship among the regulation parameters used for adjusting a frequency of a processor, setting one or more set regulation parameters based on the one or more set parameter values, adjusting the frequency of the processor based on the one or more set regulation parameters, and loading the webpage data stream at the adjusted frequency such that the mobile terminal completes loading of the webpage data stream in a set time range with reduced energy consumption may be provided.

Abstract: Energy saving methods and apparatuses of a mobile terminal may be provided, For example, an energy saving method includes monitoring whether the mobile terminal loads a webpage data stream, determining webpage complexity of the webpage data stream, when the webpage data stream is loaded, determining one or more set parameter values, from among a plurality of parameter values of a set of regulation parameters, based on a correspondence relationship among the regulation parameters used for adjusting a frequency of a processor, setting one or more set regulation parameters based on the one or more set parameter values, adjusting the frequency of the processor based on the one or more set regulation parameters, and loading the webpage data stream at the adjusted frequency such that the mobile terminal completes loading of the webpage data stream in a set time range with reduced energy consumption may be provided.