Informatics Publishing Limited

Shilpee A. Dave ¹, M. S. Nagmode ¹, Aditi Jahagirdar ¹

Affiliations
1 MIT College of Engineering, University of Pune, IN

Abstract

Computer Vision is the field which is growing very fast and rapidly. The main purpose of the object detection in video surveillance system is for safety of the human. Objects like human and vehicle have been important research area in Intelligent Transport System (ITS). Here in this paper, we have considered human and vehicles as an object. Basically, Contour-based approach is used to get moving object’s region. In this approach, consecutive frames are subtracted to get foreground moving objects and connected component of the contour is used for detecting the object. Here we have set the Region of Interest to extract detected object. We have used static camera for detection purpose. Different video database of video surveillance area is considered. Thresholding, binary image conversion, morphological operations are implemented for better detection of foreground objects. Experimental results are shown to elaborate the contour-based object detection method.

Keywords

Object Detection, Contour Detection, Region of Interest.

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Pooja Soman , Dr. Manoj Nagmode , Aditi Jahagirdar , Shishir Sahay , Rahul Roy

Abstract

Chirp parameter estimation is the topic of research interest for various years. Nowadays, chirp signals are applied in many engineering fields such as radar and passive/active sonar systems. Related to the use of chirp signals, the problem of parameter estimation of the signal has been receiving a great deal of interest. Chirps signal is a non-stationary signal whose frequency varies with the time. Ordinary Fourier transform is inefficient due to strong non-stationary characteristics of the signal. Hence special techniques are required to evaluate a chirp signal. Literature survey shows that the parameter estimation techniques are broadly categorized as Time-Frequency representation and statistical representation. In this paper we will discuss some of the Time-Frequency representation techniques like FrFT, WVD and Bowtie in detail and their respective results are further evaluated. Simulations of some of the techniques are done with respect to various parameters taken into account. Comparative study based on the simulation results is also done. All these techniques have trade-off between the accuracy and complexity. The evaluation results show FrFT has more accurate results than WVD and Bowtie in presence of noise. That is noise immunity of FrFT is much more than WVD and Bowtie. But complexity is less in WVD and Bowtie is simplest to implement.

Keywords

Chirp Parameter Estimation, Time-Frequency Representation, Fractional Fourier Transform, WVD, Bowtie.

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Bharati Dixit ¹, Mangesh Bedekar ¹, Aditi Jahagirdar ¹, Neha Sathe ¹

Affiliations
1 Computer Engineering and Technology, Dr. Vishwanath Karad MIT World Peace University, IN

Abstract

In the current era where ample data is generated every second and available to every individual in the form of information, it is easy to gain knowledge from this information but a systematic and methodical approach is required when it comes to skill development. Online and on campus programs help in gaining knowledge but the skills to apply this knowledge needs to be developed gradually through appropriate teaching pedagogy which helps in practicing higher order thinking skills as proposed by Bloom and well known as Bloom’s Taxonomy. In conventional teaching learning approach adopted for online and in-person classroom sessions, the transmission of knowledge takes place most of the time where learner’s involvement may be quite less. So from the perspective of improvement in learner’s involvement in teaching learning process, active learning methods play a significant role and hence practiced widely in recent times. Variety of methods are recommended by scientists and Education experts to improve upon assimilation of knowledge for problem solving. Depending upon the nature of the problem the learner either needs to use one of the lower order thinking skills like apply or higher order thinking skills like analyse, evaluate and create as defined by Bloom. The study presented in this paper discusses case studies of practicing active learning techniques and developing problem solving skills through these techniques. The consolidated feedback analysis for the active learning techniques practiced show that the 96% learners have agreed for clarity of understanding, 92.72% learners have shown confidence in application of concepts and 97.27% participants have shown improved satisfaction in learning. Qualitative testimonies suggests the promising strength of PBL and effectiveness of it in improvement of problem solving skills. The study encourages the effective use of active learning techniques for skill development which is need of time.

Keywords

Higher Order Thinking Skills, Active Learning Techniques, Problem Solving, Skill Development.

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