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Description: Using colour features for video-based tracking of people in a multi-camera
environment.-Using colour features for video-based tracking of people in a multi-camera
environment.
Platform: |
Size: 309248 |
Author: co2gaz |
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Description: Motion Tracking
=== === ===
This tarball contains all code required to run the tracking algorithm
on a sequence of images. Run the file run_tracker.m in Matlab and
follow the instructions. You will need to have a directory of
sequentially numbered images available. After entering the path and
file types the tracker will begin processing. Once the data window
appears the algorithm begins building a background model and attempts
to track objects. By clicking on any of the four subwindows you can
investigate the background representation (a Mixture of Gaussians) of
any pixel. The two windows that then appear display the mixture once
as a two-dimensional scatter plot (ignoring the blue colour
component), and once as a one-dimensional evolution of the red colour
component only. These plots make the internal processing visible and
should help determining suitable parameters to be set in
mixture_parameters.m.-Motion Tracking
===============
This tarball contains all code required to run the tracking algorithm
on a sequence of images. Run the file run_tracker.m in Matlab and
follow the instructions. You will need to have a directory of
sequentially numbered images available. After entering the path and
file types the tracker will begin processing. Once the data window
appears the algorithm begins building a background model and attempts
to track objects. By clicking on any of the four subwindows you can
investigate the background representation (a Mixture of Gaussians) of
any pixel. The two windows that then appear display the mixture once
as a two-dimensional scatter plot (ignoring the blue colour
component), and once as a one-dimensional evolution of the red colour
component only. These plots make the internal processing visible and
should help determining suitable parameters to be set in
mixture_parameters.m.
Platform: |
Size: 36511744 |
Author: gobsy |
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Description: A complete methodology for object tracking using a ball example and it also deals in reducing run time by using an optimized colour detection based algorithm
Platform: |
Size: 4096 |
Author: pd |
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Description: This paper presents a method that combines
colour and motion information to track pedestrians in video sequences captured by a fixed camera. Pedestrians are firstly
detected using the human detector proposed by Dalal and Triggs which involves computing the histogram of oriented gradients descriptors and classification using a linear support
vector machine. For the colour-based model, we extract a 4-dimensional colour histogram for each detected pedestrian window and compare these colour histograms between consecutive
video frames using the Bhattacharyya coefficient. For the motion model, we use a Kalman filter which recursively predicts and updates the estimates of the positions of pedestrians in the video frames. We evaluate our tracking method using videos from two pedestrian video datasets from the
web. Our experimental results show that our tracking method outperforms one that uses only colour information and can handle partial occlusion.
Platform: |
Size: 484352 |
Author: linuszhao |
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Description: this explain basics of tracking the program is used to track the objects of specific colours of RGB plane u can chane 1or2 or 3 to trach R/g/b colour
Platform: |
Size: 1024 |
Author: sgs |
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Description: 根据颜色来跟踪的一段C++源码，可实现简单的目标跟踪，且打印跟踪轨迹。-According to some C++ color tracking source, simple tracking, and print tracking trajectory.
Platform: |
Size: 1330176 |
Author: fire |
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Description: matlab code image video processing in many applications. intensity gradient and colour histogram cues as observation model used for multi target tracking
Platform: |
Size: 7168 |
Author: Abd |
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Description: the code is to track the lips. which need to be marked by red color.
the code tracks the red color of the lips and thus the lips indirectly.
such system can be very much useful for audio visual departments
Platform: |
Size: 3072 |
Author: nilesh |
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Description: Used for
Separate Background and Foreground of a Video using Approximate Median Filter
Separate Background and Foreground of a Video using Frame Averaging
Tracking a given moving point with a given colour in a Video
Platform: |
Size: 3072 |
Author: youmei Zhang |
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Description: Still need to tune th reshold for extracting skin colour. For finger tracking one would need to identify each finger individually.-Still need to tune the threshold for extracting skin colour. For finger tracking one would need to identify each finger individually.
Platform: |
Size: 8683520 |
Author: Cuong |
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Description: This paper introduces a new object tracking method
which combines two algorithms working in parallel, and based on
low-level observations (colour and gradient orientation): the Generalised Hough Transform, using a pixel-based description, and
the Particle Filter, using a global description. The object model is
updated by combining information a back-projection map
computed the Generalised Hough Transform, providing
for every pixel the degree to which it may belong to the
object, and the Particle Filter, providing a probability
density on the global object position. The proposed tracker
makes the most of the two algorithms, in terms of robustness to
appearance variation like scaling, rotation, non-rigid deformation
or illumination changes.-This paper introduces a new object tracking method
which combines two algorithms working in parallel, and based on
low-level observations (colour and gradient orientation): the Generalised Hough Transform, using a pixel-based description, and
the Particle Filter, using a global description. The object model is
updated by combining information a back-projection map
computed the Generalised Hough Transform, providing
for every pixel the degree to which it may belong to the
object, and the Particle Filter, providing a probability
density on the global object position. The proposed tracker
makes the most of the two algorithms, in terms of robustness to
appearance variation like scaling, rotation, non-rigid deformation
or illumination changes.
Platform: |
Size: 2140160 |
Author: SALEH |
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