CAMSHIFT-based Algorithm for Multiple Object Tracking
نویسندگان
چکیده
This paper presents a technique for object tracking by using CAMSHIFT algorithm that tracks an object based on color. We aim to improve the CAMSHIFT algorithm by adding a multiple targets tracking function [1].When one object is selected as a template, it will search objects that have the same hue value and shape by shape recognition. Hence, the inputs of the algorithm are hue values and shape of the object. When all objects are absent in the frame, the algorithm will search whole frame to find most similar-looking objects and track them. The important task of the object tracking is to separate a target from background or frame in some cases where the noise is present in the tracking frame. Then object identification method was added to the algorithm for filtering the noise and counting numbers of objects to make decide how many targets track.
منابع مشابه
CUDA Based CAMshift Algorithm for Object Tracking Systems
In this paper, we present an image object tracking system for GPGPU based CAMshift algorithm. For image object tracking, we use the parallel CAMshift tracking algorithm based on the HSV color image distribution of detected moving objects. In this, RGB-to-HSV color conversion, image masking such as open and close operation for image morphology, and computing of centroid are executed in parallel....
متن کاملAn Improved CAMShift Algorithm for Object Detection and Extraction
Continuously Adaptive MeanShift (CAMShift) is an important algorithm for object tracking based on the colour histogram. The algorithm works by finding the mode of a probability distribution map within a search window and iteratively updates the position and size of the window until convergence. The algorithm boasts of high performance in a simple environment where the colour distribution is con...
متن کاملModified CAMshift Algorithm Based on HSV Color Model for Tracking Objects
Tracking objects in real time and exact tracking have long been challenging area in the field of computer vision. This paper describes a modified Continuously Adaptive Mean Shift (CAMshift) algorithm based on the Hue Saturation Value (HSV) color model for tracking an object in real time. The existing CAMshift can detect precisely when an object has a simple color. However, it has some disadvant...
متن کاملA new approach using Camshift Algorithm for multiple Vehicle Tracking
Cameras and video technology have become integral in our day to day lives. Surveillance is one area that has greatly benefited from video technologies. This in turn increases the need for automatic video surveillance algorithms that can track objects and raise alarm if needed. Tracking of people is one such area. On the other hand, CAMSHIFT is a tracking algorithm that has been widely applied i...
متن کاملOnline multiple people tracking-by-detection in crowded scenes
Multiple people detection and tracking is a challenging task in real-world crowded scenes. In this paper, we have presented an online multiple people tracking-by-detection approach with a single camera. We have detected objects with deformable part models and a visual background extractor. In the tracking phase we have used a combination of support vector machine (SVM) person-specific classifie...
متن کامل