A novel enhanced algorithm for efficient human tracking

Abstract

<p><span>Tracking moving objects has been an issue in recent years of computer vision and image processing and human tracking makes it a more significant challenge. This category has various aspects and wide applications, such as autonomous deriving, human-robot interactions, and human movement analysis. One of the issues that have always made tracking algorithms difficult is their interaction with goal recognition methods, the mutable appearance of variable aims, and simultaneous tracking of multiple goals. In this paper, a method with high efficiency and higher accuracy was compared to the previous methods for tracking just objects using imaging with the fixed camera is introduced. The proposed algorithm operates in four steps in such a way as to identify a fixed background and remove noise from that. This background is used to subtract from movable objects. After that, while the image is being filtered, the shadows and noises of the filmed image are removed, and finally, using the bubble routing method, the mobile object will be separated and tracked. Experimental results indicated that the proposed model for detecting and tracking mobile objects works well and can improve the motion and trajectory estimation of objects in terms of speed and accuracy to a desirable level up to in terms of accuracy compared with previous methods.</span></p>

A New Security Alarm Based on Interaction

“…In some models, laser safety systems require a unique code to arm and disarm. In others, they will be controlled wirelessly [32]. Modern laser safety systems depend upon infrared motion detectors as their essential sensing component.…”

Identifying Influencing Factors of Road Accidents in Emerging Road Accident Black spots<strong> </strong><strong> </strong>

“…Palayamkottai is the central business center located on the eastern bank of the Thamirabarani River. The town has a number of educational institutions and administrative offices like District police headquarters, medical colleges, commercial shops, and hospitals, attracting more traffic from the outskirts of the city, causing high traffic flow in the city [50][51][52][53][54][55][56][57][58][59][60][61][62][63][64][65][66][67][68][69]. The Municipal Corporation Act of 1994 established a municipal corporation to operate Tirunelveli.…”

“…Earlier conventional methods were used to find the black spot locality in which only the number of accidents is considered. In most of the traditional methods, they used the statistical Poisson distribution, and the Empirical Bayes technique was utilized [42,[55][56][57][58][59][60][61][62][63][64][65][66][67][68][69]. The goal of the identification procedure is to pick a few sites from a vast number of possibilities in order to increase safety.…”

“…The goal of the identification procedure is to pick a few sites from a vast number of possibilities in order to increase safety. The justification for the identification procedure should meet the following criteria: economic efficiency, road user justice, and professional accountability [43]. Developed countries, like the United States, Canada, and European Union, have developed area-specific guidelines to identify and manage the black spots [44].…”

Automation Attendance Systems Approaches: A Practical Review

“…In conclusion, there are different ways a problem can be solved. And for attendance management system the most feasible design seems to be when cloud technologies [31][32][33][34][35][36][37][38][39] and service robots, deep learning etc. [40][41][42][43][44][45][46][47][48][49][50][51][52][53] are used in conjunction.…”