A Method of Pedestrian Detection for Image Analysis Bot System
نویسندگان
چکیده
In this paper, to build an efficient intelligent surveillance system, the CNN algorithm, one of the deep learning algorithms, was used for an image analysis bot (bot, the abbreviation of robot, is a software tool for processing data) system to detect and classify pedestrians in a video sequence. To optimize the system, we made some improvements to the CNN algorithm. Additionally, we implement the image analysis bot system based on the above proposed algorithm.
منابع مشابه
Pedestrian Detection in Infrared Outdoor Images Based on Atmospheric Situation Estimation
Observation in absolute darkness and daytime under every atmospheric situation is one of the advantages of thermal imaging systems. In spite of increasing trend of using these systems, there are still lots of difficulties in analysing thermal images due to the variable features of pedestrians and atmospheric situations. In this paper an efficient method is proposed for detecting pedestrians in ...
متن کاملSuperpixels in Pedestrian Detection from Stereo Images in Urban Traffic Scenarios
Pedestrian detection is a common task in every driving assistance system. The main goal resides in obtaining a high accuracy detection in a reasonable amount of processing time. This paper proposes a novel method for superpixel-based pedestrian hypotheses generation and their validation through feature classification. We analyze the possibility of using superpixels in pedestrian detection by in...
متن کاملA Simple Image Analysis Method for Determination of Glucose by using Glucose Oxidase CdTe/TGA Quantum Dots
Glucose, as the major energy source in cellular metabolism, plays an important role in the natural growth of cells. Herein, a simple, rapid and low-cost method for the glucose determination by utilizing glucose oxidase and CdTe/thioglycolic acid (TGA) quantum dots (QDs) on a thin layer chromatography (TLC) plate has been described. The detection was based on the combination of the glucose enzym...
متن کاملShape-based Pedestrian Detection∗
This paper presents the method for detecting pedestrian recently implemented on the ARGO vehicle. The perception of the environment is performed through the sole processing of images acquired from a vision system installed on board of the vehicle: the analysis of a monocular image delivers a first coarse detection, while a distance refinement is performed thanks to a stereo vision technique.
متن کاملPerformance evaluation of block-based copy- move image forgery detection algorithms
Copy-move forgery is a particular type of distortion where a part or portions of one image is/are copied to other parts of the same image. This type of manipulation is done to hide a particular part of the image or to copy one or more objects into the same image. There are several methods for detecting copy-move forgery, including block-based and key point-based methods. In this paper, a method...
متن کامل