International Journal of Computer and Applications

Suspicious human activity recognition from surveillance video is an active research area of image processing and computer vision. Through the visual surveillance, human activities can be monitored in sensitive and public areas such as bus stations, railway stations, airports, banks, shopping malls, school and colleges, parking lots, roads, etc. to prevent terrorism, theft, accidents and illegal parking, vandalism, fighting, chain snatching, crime and other suspicious activities. It is very difficult to watch public places continuously, therefore an intelligent video surveillance is required that can monitor the human activities in real-time and categorize them as usual and unusual activities; and can generate an alert. Recent decade witnessed a good number of publications in the field of visual surveillance to recognize the abnormal activities. Furthermore, a few surveys can be seen in the literature for the different abnormal activities recognition; but none of them have addressed different abnormal activities in a review. In this paper, we present the state-of-the-art which demonstrates the overall progress of suspicious activity recognition from the surveillance videos in the last decade. We include a brief introduction of the suspicious human activity recognition with its issues and challenges. This paper consists of six abnormal activities such as abandoned object detection, theft detection, fall detection, accidents and illegal parking detection on road, violence activity detection, and fire detection. In general, we have discussed all the steps those have been followed to recognize the human activity from the surveillance videos in the literature; such as foreground object extraction, object detection based on tracking or non-tracking methods, feature extraction, classification; activity analysis and recognition. The objective of this paper is to provide the literature review of six different suspicious activity recognition systems with its general framework to the researchers of this field.

Suspicious human activity recognition: a review

An effort is made to design the fuzzy proportional-derivative (PD) plus I controller for a nonlinear cruise control system in automobiles, which provides adaptive capability in set-point tracking p...

Fuzzy PD Plus I Control-based Adaptive Cruise Control System in Simulation and Real-time Environment

This paper presents control design based on an Interval Type-2 Fuzzy Logic (IT2FL) for the trajectory tracking of 3-RRR (3-Revolute-Revolute-Revolute) planar parallel robot. The design of Type-1 Fu...

https://journals.sagepub.com/doi/pdf/10.1177/0020294021997483

Social spider optimization algorithm for tuning parameters in PD-like Interval Type-2 Fuzzy Logic Controller applied to a parallel robot:

The resonant converter (RC) is finding wide applications in many space and radar power supplies. Among various RCs LCL, LCC, and LCL-T topologies are broadly used. This manuscript presents a comparative evaluation of steady-state stability of LCL, LCC, and LCL-T resonant configurations. Careful analysis favors LCL RC among the aforementioned three configurations since the stability region is good for the LCL RC over the other configurations. Also, this paper presents a comparative evaluation of proportional integral (PI) controller and fuzzy logic controller for a modified LCL RC. The aforementioned controllers are simulated using MATLAB and their performance is analyzed. The outcome of the analysis shows the superiority of fuzzy control over the conventional PI control method. The LCL RC is proposed for applications in many space and radar power supplies. Design, simulation, and experimental results for a 133-W, 50-kHz LCL RC are presented in this manuscript which provide high efficiency (greater than 89%) even for 50% of load. Efficiencies greater than 80% are obtained at significantly reduced loads (11%). In this paper, the applicability of the Philips advanced RISC machine processor LPC 2148 is also investigated for implementing the controller for an RC.

Stability and performance investigation of fuzzy controlled LCL resonant converter in RTOS environment

The ball and beam is a basic reference point system with high nonlinearity and unstable system in its dynamics. Many simple and present day control methods have been used to balance the ball and beam system. The goal of this project is to model and control the ball and beam system. Here considering the beam angle of servo motor and designing controllers to control the ball position. Lagrange approach is used to find the ball position of the system. It is based on energy balance of the system. Based on the transfer function and state space model, open loop system and closed loop system are designed. The system is designed by using two Degrees-of-Freedom. The nonlinear characteristic of the second order system is regulated by using PID controller. The controller controls the ball position in moving the beam using the motor and beaten the disturbances. The parameters of the PID are tuned using PID tuning Algorithm. In order to analyse the accomplishment of PID to learn the effect of simplifying expectation, two control methods are designed and implemented using Proportional Derivative Integral (PID) as non-model based control method, Proportional Derivative and Proportional integral combination of model based and non-model based control methods.

Modelling and control of ball and beam system using PID controller

Object Detection and Intruder detection is one of the important tasks in video surveillance system. This paper proposes an integrated approach for the tracking of abandoned and unknown objects using background subtraction and morphological filtering. The aim of the approach is to automatically recognize activities around restricted area to improve safety and security of the servicing area by multiplexing hundreds of video streams in real time. The tracking module takes as input per camera tracking and recognition results and fuses these into object estimation. A novel algorithm for object tracking in video pictures, based on image segmentation is proposed. With the image segmentation all objects in images can be detected whether they are moving or not by using image segmentation results of successive frames. Consequently, the proposed algorithm can be applied to multiple movements. The algorithm was tested on real time video surveillance system and it produces very low false alarms and missing detection. This approach definitely provides security and detects the moving object in real time video sequence and live video streaming.

/pdf/an-efficient-approach-for-real-time-tracking-of-intruder-and-2lwr6skoi6.pdf

An Efficient Approach for Real Time Tracking of Intruder and Abandoned Object in Video Surveillance System

The scope of this paper is to look beyond linear solutions and discuss briefly about the recent developments in nonlinear system control & controller tuning methods. An adaptive cruise control model is taken as case study to illustrate the practicality of implementation in the simulation environment in terms of modelling and control of non-linear process. Effort is made to analyse the nonlinear system control in MATLAB and PROTEUS environment.

Implementation Analysis of State Space Modelling and Control of Nonlinear Process Using PID Algorithm in MATLAB and PROTEUS Environment

wideband S-shape microstrip patch antenna is proposed in this paper The bandwidth is further increased by introducing PBG structure Low volume and low profile configuration, easily mounted, low fabrication cost and light weight are the advantages of this antenna With this design, a matching impedance bandwidth over 6723% (from 40769 GHz to 82051 GHz) for VSWR< 2 was achieved The proposed antenna operates in S-band and C-band with bandwidth over 172% and 6723% The proposed antenna is best suited for C- band communication The maximum achieved gain of the designed antenna is 6 dBi with return loss of -33 dB

/pdf/s-shape-wideband-microstrip-patch-antenna-with-enhanced-gain-475vqfk5mi.pdf

G. Prabhakar

Papers

Fuzzy PD Plus I Control-based Adaptive Cruise Control System in Simulation and Real-time Environment

Modelling and control of ball and beam system using PID controller

An Efficient Approach for Real Time Tracking of Intruder and Abandoned Object in Video Surveillance System

Implementation Analysis of State Space Modelling and Control of Nonlinear Process Using PID Algorithm in MATLAB and PROTEUS Environment

S-shape Wideband Microstrip Patch Antenna with Enhanced Gain and Bandwidth for Wireless Communication