Sentence examples for approach for object from inspiring English sources
Radio frequency identification (RFID) provides a non-line-of-sight (NLOS) and contactless approach for object identification.
A closed-loop local-global integrated hierarchical estimator (CLGIHE) approach for object tracking using multiple cameras is proposed.
For our application, we employed HOG feature extraction since it is known to be a robust approach for object detection.
Experiments were conducted to test this approach for object recognition with benchmark datasets under two scenarios: (1) source and target contains labeled training instances for all categories and (2) source contains labeled training instances for all categories but the target only contains half of the categories and shall be tested with data containing all categories.
To solve these problems, we proposed a new method that incorporates the use of a revised physically based (RPB) model to correct both atmospheric and terrain-caused illumination effects on Landsat images, an improved vegetation index (VI -based technique for estimating the FVI -basedn adaptechnique shiforapproach for objestimatingFVC segmentheion.
We present a supervised learning approach for object-category specific restoration, recognition, and segmentation of images which are blurred using an unknown kernel.
Most conventional approaches for object detection are background subtraction, optical flow and spatio-temporal filtering method.
In this research, particle filter is selected as the tracking framework among the common approaches for object tracking.
Approaches for object tracking can be categorized into three groups: point tracking, kernel tracking, and silhouette tracking [5].
Several research groups have recently shown that CNNs outperform classical approaches for object classification or detection that are based on hand-crafted features [8, 24].
For that reason, approaches for object detection that are simply using occlusion detectors will not be able to gain the full object outline.
