Moving object detection and tracking using genetic algorithm enabled extreme learning machine

G Jemilda, S Baulkani - International Journal of Computers …, 2018 - univagora.ro
In this proposed work, the moving object is localized using curvelet transform, soft
thresholding and frame differencing. The feature extraction techniques are applied on to the …

CDNB: CAVIAR-dragonfly optimization with naive bayes for the sentiment and affect analysis in social media

HP Patil, M Atique - Big data, 2020 - liebertpub.com
With the advent of the new information technologies, the growth of online reviews regarding
an organization or a company or any other sector has been playing a vital role in improving …

LSTM-QDCNN: long short-term memory and quantum dilated convolutional neural network enabled occlusion percentage prediction

S V. Sokashe Ghorpade… - Australian Journal of …, 2024 - Taylor & Francis
Occlusion detection is vital in longer video sequences of real-time scenarios, as deformable
objects generally occlude themselves or be occluded by exterior objects eventually …

[PDF][PDF] A survey on vehicle detection and tracking algorithms in real time video surveillance

S Sri Jamiya, P Esther Rani - International journal of scientific & …, 2019 - researchgate.net
Automated surveillance systems are of critical importance in traffic management and
monitoring any unwanted activities. The intelligent transportation system plays a crucial role …

Visual Tracking based on Moving Monocular Camera

X Kan, J He, Z Xi - International Journal of Performability …, 2020 - ijpe-online.com
This paper investigates the problem of moving target tracking in the case of a monocular
mobile camera. Firstly, a scene space model was established under a moving camera …

Multi-Object Tracking Using Improved Lion-Based Clustering With Reference To LVP Pattern

MM Aditya - publisher.resbee.org
MOT in video surveillance is still a challenging aspect due to various complexities like
complex occlusion, different poses, small sizes of objects, and so on. Henceforth more …

Implementation of multiple object tracking for tracking pedestrians

J Liang, X Yu, Y Zou - 2nd International Conference on …, 2022 - spiedigitallibrary.org
Multiple object tracking is complex and this essay will analyse a method to build flexible
tracking system, contributing to people detection. The system can perform automatic …

[PDF][PDF] An interactive review of object motion detection, classification and tracking algorithms related to video analysis in computer vision

HSA Karaki, SA Alomari - International Journal of Engineering …, 2018 - academia.edu
During the past three decades, a number of moving objects' detection, classification and
tracking methods have been reported in the literature. This paper presents a review of object …

AA-CDNB: adaptive autoregressive CAVIAR-dragonfly optimization with Naive Bayes for reason identification

HP Patil, M Atique - Evolutionary Intelligence, 2018 - Springer
Sentiment analysis is the critical process, which generates the subjective information from
the text documents that are available online. Literature presents various kinds of task, like …

[引用][C] Optimized Deep LSTM-Based Multi-Object Tracking With Occlusion Handling Mechanism

SV Sokashe-Ghorpade, SA Pardeshi - International Journal of …, 2024 - World Scientific
The multi-object tracking is a basic computer vision process having a huge class of real-life
tools that range from monitoring of medical video to surveillance. The goal of tracking …