Identify Occurrence of Substance Object of a Certain Classification in Fractional Videos and Pictures
Abhilasha Akkala1, Avinash Seekoli2
1Abhilasha Akkala*, Computer science and engineering, Centurion university of technology and management, Odisha, India.
2Avinash Seekoli, Computer science and engineering, Centurion university of technology and management, Odisha, India.
Manuscript received on January 23, 2020. | Revised Manuscript received on February 05, 2020. | Manuscript published on February 30, 2020. | PP: 3728-3731 | Volume-9 Issue-3, February 2020. | Retrieval Number: C6314029320/2020©BEIESP | DOI: 10.35940/ijeat.C6314.029320
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Object detection and recognition are the meta-heuristic problems in computer vision. Practically usable dynamic object recognition methods are still unavailable. A new method was proposed which improves over existing methods in every stage. In that addition features like geometric shapes, ellipsis are added. An heuristic codebook was proposed of good generalization and discriminative properties, enabling multipath interferences mechanisms on propagation of1 conditional livelihood. A new learning method also proposed which is capable of online learning.
Keywords: Recognition, heuristic, generalization, livelihood.