ISSN 2394-5125
 

Research Article 


MODIFIED LOCAL DIRECTIONAL PATTERN AND TAMURA FEATURES BASED OBJECT DETECTION AND CLASSIFICATION IN VIDEOS USING DEEP NEURAL NETWORK

Saju A, Dr. H. N. Suresh.

Abstract
In recent scenario, object classification is gaining more attention among the researchers, due to its
extensive range of applications like surveillance, image analysis, etc. Recently, many existing methods are
developed for object classification, but still it achieves only considerable performance in the conditions; congest
situation, complex background, etc. To overcome these concerns, an appropriate feature extraction and
classification techniques are proposed in this research article for automatic object classification. At first, the
annotated objects are segmented from the video sequences by using Superpixel based Fast Fuzzy C-Means
(SFFCM) algorithm. Then, the features from the segmented objects are extracted by applying tamura features
and Modified Local Directional Pattern (MLDP). Finally, Deep Neural Network (DNN) classifier is applied to
classify the object classes or categories. The Caltech 256 and PASCAL VOC 2007 databases are used to analyze
the proposed model performance. The classification performance of the proposed model is evaluated by means of
precision, specificity, recall, and accuracy. In the experimental part, the proposed model improvement maximum
of 20.19% and 18.29% of precision in PASCAL VOC 2007, and Caltech 256 databases related to existing model;
Image Level Hierarchical Structure (ILHS).

Key words: Deep neural network, modified local directional pattern, superpixel based fast fuzzy c-means, tamura features.


 
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How to Cite this Article
Pubmed Style

Saju A, Dr. H. N. Suresh. MODIFIED LOCAL DIRECTIONAL PATTERN AND TAMURA FEATURES BASED OBJECT DETECTION AND CLASSIFICATION IN VIDEOS USING DEEP NEURAL NETWORK. JCR. 2020; 7(16): 23-31. doi:10.31838/jcr.07.16.5


Web Style

Saju A, Dr. H. N. Suresh. MODIFIED LOCAL DIRECTIONAL PATTERN AND TAMURA FEATURES BASED OBJECT DETECTION AND CLASSIFICATION IN VIDEOS USING DEEP NEURAL NETWORK. http://www.jcreview.com/?mno=120573 [Access: April 18, 2021]. doi:10.31838/jcr.07.16.5


AMA (American Medical Association) Style

Saju A, Dr. H. N. Suresh. MODIFIED LOCAL DIRECTIONAL PATTERN AND TAMURA FEATURES BASED OBJECT DETECTION AND CLASSIFICATION IN VIDEOS USING DEEP NEURAL NETWORK. JCR. 2020; 7(16): 23-31. doi:10.31838/jcr.07.16.5



Vancouver/ICMJE Style

Saju A, Dr. H. N. Suresh. MODIFIED LOCAL DIRECTIONAL PATTERN AND TAMURA FEATURES BASED OBJECT DETECTION AND CLASSIFICATION IN VIDEOS USING DEEP NEURAL NETWORK. JCR. (2020), [cited April 18, 2021]; 7(16): 23-31. doi:10.31838/jcr.07.16.5



Harvard Style

Saju A, Dr. H. N. Suresh (2020) MODIFIED LOCAL DIRECTIONAL PATTERN AND TAMURA FEATURES BASED OBJECT DETECTION AND CLASSIFICATION IN VIDEOS USING DEEP NEURAL NETWORK. JCR, 7 (16), 23-31. doi:10.31838/jcr.07.16.5



Turabian Style

Saju A, Dr. H. N. Suresh. 2020. MODIFIED LOCAL DIRECTIONAL PATTERN AND TAMURA FEATURES BASED OBJECT DETECTION AND CLASSIFICATION IN VIDEOS USING DEEP NEURAL NETWORK. Journal of Critical Reviews, 7 (16), 23-31. doi:10.31838/jcr.07.16.5



Chicago Style

Saju A, Dr. H. N. Suresh. "MODIFIED LOCAL DIRECTIONAL PATTERN AND TAMURA FEATURES BASED OBJECT DETECTION AND CLASSIFICATION IN VIDEOS USING DEEP NEURAL NETWORK." Journal of Critical Reviews 7 (2020), 23-31. doi:10.31838/jcr.07.16.5



MLA (The Modern Language Association) Style

Saju A, Dr. H. N. Suresh. "MODIFIED LOCAL DIRECTIONAL PATTERN AND TAMURA FEATURES BASED OBJECT DETECTION AND CLASSIFICATION IN VIDEOS USING DEEP NEURAL NETWORK." Journal of Critical Reviews 7.16 (2020), 23-31. Print. doi:10.31838/jcr.07.16.5



APA (American Psychological Association) Style

Saju A, Dr. H. N. Suresh (2020) MODIFIED LOCAL DIRECTIONAL PATTERN AND TAMURA FEATURES BASED OBJECT DETECTION AND CLASSIFICATION IN VIDEOS USING DEEP NEURAL NETWORK. Journal of Critical Reviews, 7 (16), 23-31. doi:10.31838/jcr.07.16.5