The phrase "accurate object" is correct and usable in written English.
It can be used in contexts where precision or correctness regarding an object is being discussed, such as in technical or scientific writing.
Example: "In our experiment, we need to ensure that we are measuring the accurate object to obtain reliable results."
Alternatives: "precise item" or "correct object".
The system then automatically tracks the selected object in the subsequent frames, and produces accurate object boundaries.
It is also demonstrated that our method can perform accurate object recognition in real time (less than 6 ms).
Their performances are compared to the recently proposed Pixel Comparison (PC) features, which were designed for fast and accurate object detection from Kinect-generated depth images.
Conversely, we propose an effective method for accurate object detection, which is inspired by the mechanism of memory and prediction in our brain.
Experimental results on four benchmark datasets demonstrate that the proposed multi-group image cosegmentation framework is able to discover more accurate object priors and outperform state-of-the-art single-group image cosegmentation methods.
Insignificant information is cleared, while the one preserved allows for easy, fast and accurate object recognition.
Such access enables accurate object-background segregation.
The proposed algorithm achieves a very accurate object-detection, through a simple joint impedance control scheme combined with a state-observer.
This fall the Neue Galerie is bringing the Wiener Werkstätte to Fifth Avenue shoppers with Neue Galerie Haus, a line of historically accurate objects.
In summary, Mantra is a basic, but reliable and accurate, object-tracking system.
Again, random destruction would destroy accurate and inaccurate objects equally well, and would not, in general, result in accumulation of accurate objects.
