Aspects of the disclosure provide an apparatus for target tracking including processing circuitry that obtains a plurality of target instances according to a target detection on image data. Each of the plurality of target instances corresponds to one of a plurality of tracked targets. The processing circuitry determines a plurality of trajectory segments. Each of the plurality of trajectory segments indicates a trajectory of a subset of the target instances corresponding to a same tracked target. The processing circuitry determines feature information of the plurality of trajectory segments. The processing circuitry performs clustering on specified trajectory segments of the plurality of trajectory segments according to the feature information of the specified trajectory segments, to obtain a type distribution of the specified trajectory segments. The processing circuitry determines, according to the type distribution of the specified trajectory segments, a target tracking result including a same type of the specified trajectory segments.

The application discloses a lip movement capturing method and device and a storage medium. The method includes: acquiring a real-time image shot by a photographic device and extracting a real-time facial image from the real-time image; inputting the real-time facial image into a pretrained lip average model and recognizing t lip feature points representative of positions of lips in the real-time facial image; and calculating a movement direction and movement distance of the lips in the real-time facial image according to x and y coordinates of the t lip feature points in the real-time facial image. According to the application, movement information of the lips in the real-time facial image is calculated according to the coordinates of the lip feature points to implement real-time capturing of movements of the lips.

Methods and systems for descriptor guided fast marching method based image analysis and associated systems are disclosed. A representative image processing method includes processing an image of a microelectronic device using a fast marching algorithm to obtain arrival time information for the image. The arrival time information is analyzed using a targeted feature descriptor to identify targeted features. The detection of defects is facilitated by segmenting the image. The segmented image can be analyzed to identify targeted features which are then labeled for inspection.

An inspection method according to an embodiment includes a step of constructing a template by imaging a symbol based on design data, a stop of detecting a symbol group including a plurality of templates, a step of template matching that searches for a symbol set part having the same shape as the symbol groin in a measured image, makes the positions and the sizes of the symbol group and the symbol set part having been searched for identical, and superimposes all symbols in the design data on all symbols in the measured image, a step of contour matching that compares the contours of the superimposed symbols in the design data with the contours of the symbols in the measured image, and a step of deciding whether the symbols corresponding to each other in the measured image and the design data match based on the template matching and the contour matching.

A system and method for scoring trained probes for use in analyzing one or more candidate poses of a runtime image is provided. A set of probes with location and gradient direction based on a trained model are applied to one or more candidate poses based upon a runtime image. The applied probes each respectively include a discrete set of position offsets with respect to the gradient direction thereof. A match score is computed for each of the probes, which includes estimating a best match position for each of the probes respectively relative to one of the offsets thereof, and generating a set of individual probe scores for each of the probes, respectively at the estimated best match position.

A method includes obtaining a real-time 2-D B-mode image of anatomy of interest in a region of interest. The real-time 2-D B-mode image is generated with ultrasound echoes received by transducer elements (106) of a transducer array (104). The method further includes segmenting one or more anatomical features from the real-time 2-D B-mode image, obtaining 2-D slices of anatomically segmented 3-D navigation image data for the same region of interest, and matching the real-time 2-D B-mode image to at least a sub-set of the 2-D slices based on the segmented anatomical features. The method further includes identifying a 2-D slice of the anatomically segmented 3-D navigation image data that matches the real-time 2-D B-mode image based on the matching, and identifying at least one of a location and an orientation of the transducer array relative to the anatomy based on the match.

A system for determining a road type includes processing circuitry configured to receive information from a plurality of sensors. The information corresponds to one or more of operation of a host vehicle and an environment surrounding the host vehicle. Additionally, the system determines whether one or more of the plurality of sensors detects an off highway event, classifies the road type as a local road in response to one or more of the plurality of sensors detecting an off highway event, determines whether the speed of the host vehicle is greater than a first predetermined speed for a first predetermined amount of time, and classifies the road type as a limited access highway in response to the speed of the host vehicle being greater than the first predetermined speed for the first predetermined amount of time.

A method includes capturing a raw image from a semiconductor wafer, assigning a measurement box in the raw image, arranging a pair of indicators in the measurement box according to graphic data system (GDS) information of the semiconductor wafer, measuring a distance between the indicators, and performing a manufacturing activity based on the measured distance.

A headphone for spatial audio rendering includes a first database having an impulse response pair corresponding to a reference speaker location. A head sensor provides head orientation information to a second database having rotation filters, the filters corresponding to different azimuth and elevation positions relative to the reference speaker location. A digital signal processor combines the rotation filters with the impulse response pair to generate an output binaural audio signal to transducers of the headphone. Efficiencies in creating impulse response or HRTF databases are achieved by sampling the impulse response less frequently than in conventional methods. This sampling at coarser intervals reduces the number of data measurements required to generate a spherical grid and reduces the time involved in capturing the impulse responses. Impulse responses for data points falling between the sampled data points are generated by interpolating in the frequency domain.

To improve a determination accuracy when determining each particle contained in an image of an object. An image analysis apparatus according to an embodiment of the present invention includes: a shape determination unit configured to determine a shape of a particle included in a particle image that is extracted from an image of an object, so that an OK particle image which is a particle image of an OK particle that satisfies a predetermined standard for shape and a provisional NG particle image which is a particle image of a provisional NG particle that does not satisfy the predetermined standard, are obtained; a pseudo image generation unit configured to generate a pseudo image; and a similarity determination unit configured to determine whether the provisional NG image and the pseudo image are similar.