MODEL BASED TECHNIQUE FOR VEHICLE TRACKING IN TRAFFIC VIDEO USING SPATIAL LOC...mlaij
In this paper, we proposed a novel method for visible vehicle tracking in traffic video sequence using model based strategy combined with spatial local features. Our tracking algorithm consists of two components: vehicle detection and vehicle tracking. In the detection step, we subtract the background and obtained candidate foreground objects represented as foreground mask. After obtaining foreground mask of
candidate objects, vehicles are detected using Co-HOG descriptor. In the tracking step, vehicle model is
constructed based on shape and texture features extracted from vehicle regions using Co-HOG and CSLBP method. After constructing the vehicle model, for the current frame, vehicle features are extracted from each vehicle region and then vehicle model is updated. Finally, vehicles are tracked based on the similarity measure between current frame vehicles and vehicle models. The proposed algorithm is evaluated based on precision, recall and VTA metrics obtained on GRAM-RTM dataset and i-Lids dataset. The experimental results demonstrate that our method achieves good accuracy.
MODEL BASED TECHNIQUE FOR VEHICLE TRACKING IN TRAFFIC VIDEO USING SPATIAL LOC...mlaij
In this paper, we proposed a novel method for visible vehicle tracking in traffic video sequence using model based strategy combined with spatial local features. Our tracking algorithm consists of two components: vehicle detection and vehicle tracking. In the detection step, we subtract the background and obtained candidate foreground objects represented as foreground mask. After obtaining foreground mask of
candidate objects, vehicles are detected using Co-HOG descriptor. In the tracking step, vehicle model is
constructed based on shape and texture features extracted from vehicle regions using Co-HOG and CSLBP method. After constructing the vehicle model, for the current frame, vehicle features are extracted from each vehicle region and then vehicle model is updated. Finally, vehicles are tracked based on the similarity measure between current frame vehicles and vehicle models. The proposed algorithm is evaluated based on precision, recall and VTA metrics obtained on GRAM-RTM dataset and i-Lids dataset. The experimental results demonstrate that our method achieves good accuracy.
In early days the main emphases were on the cognitive aspects of learning and traditional instructions of teaching in the classroom using outdated and conventional techniques. But today in this world of constant innovations and discoveries, scientists and gadget-experts are continuously searching for one or the two technological devices a day. Nodoubt technology has made our life much easier and better in many aspects. In developed countries, technology facilitates and helps students and teacher to learn things in more effective ways. But in the country like India, the development in technology is not upto that mark. We still are moving towards the path of progress. Thus, this paper will best describes about the conceptual framework regarding futuristic studies related to future technologies such as M-Learning, E-Learning, , iPod, I-Pad self-efficacy learning, Virtual Learning Environment (VLE ) etc. In this paper investigator highlighted some of the studies related to trends in futurology and innovations that could prove an important aspect of education technology.
Ali Arshad Mir (Urdu: علی ارشد میر, January 1, 1951 – October 16, 2008) was an epic Punjabi poet and writer, sometimes described as the "Homer of Punjab".[1] His works have been translated into languages such as Urdu and English. In the 1970s, his International Anthem brought him recognition. Its lines, Girti hui dewaar ko aik dhaka aur do (Urdu: گرتی ہوئی دیوار کو ایک دھکا اور دو) are a popular slogan in the Punjab. His work includes dozens of poems that depict the socio-economic condition of society's oppressed people. They also highlight the sacrifices of the subcontinent's resistance movements.
An Ensemble of Filters and Wrappers for Microarray Data Classification mlaij
The development of microarray technology has suppli
ed a large volume of data to many fields. The gene
microarray analysis and classification have demonst
rated an effective way for the effective diagnosis
of
diseases and cancers. In as much as the data achiev
ing from microarray technology is very noisy and al
so
has thousands of features, feature selection plays
an important role in removing irrelevant and redund
ant
features and also reducing computational complexity
. There are two important approaches for gene
selection in microarray data analysis, the filters
and the wrappers. To select a concise subset of inf
ormative
genes, we introduce a hybrid feature selection whic
h combines two approaches. The fact of the matter i
s
that candidate’s features are first selected from t
he original set via several effective filters. The
candidate
feature set is further refined by more accurate wra
ppers. Thus, we can take advantage of both the filt
ers
and wrappers. Experimental results based on 11 micr
oarray datasets show that our mechanism can be
effected with a smaller feature set. Moreover, thes
e feature subsets can be obtained in a reasonable t
ime
In early days the main emphases were on the cognitive aspects of learning and traditional instructions of teaching in the classroom using outdated and conventional techniques. But today in this world of constant innovations and discoveries, scientists and gadget-experts are continuously searching for one or the two technological devices a day. Nodoubt technology has made our life much easier and better in many aspects. In developed countries, technology facilitates and helps students and teacher to learn things in more effective ways. But in the country like India, the development in technology is not upto that mark. We still are moving towards the path of progress. Thus, this paper will best describes about the conceptual framework regarding futuristic studies related to future technologies such as M-Learning, E-Learning, , iPod, I-Pad self-efficacy learning, Virtual Learning Environment (VLE ) etc. In this paper investigator highlighted some of the studies related to trends in futurology and innovations that could prove an important aspect of education technology.
Ali Arshad Mir (Urdu: علی ارشد میر, January 1, 1951 – October 16, 2008) was an epic Punjabi poet and writer, sometimes described as the "Homer of Punjab".[1] His works have been translated into languages such as Urdu and English. In the 1970s, his International Anthem brought him recognition. Its lines, Girti hui dewaar ko aik dhaka aur do (Urdu: گرتی ہوئی دیوار کو ایک دھکا اور دو) are a popular slogan in the Punjab. His work includes dozens of poems that depict the socio-economic condition of society's oppressed people. They also highlight the sacrifices of the subcontinent's resistance movements.
An Ensemble of Filters and Wrappers for Microarray Data Classification mlaij
The development of microarray technology has suppli
ed a large volume of data to many fields. The gene
microarray analysis and classification have demonst
rated an effective way for the effective diagnosis
of
diseases and cancers. In as much as the data achiev
ing from microarray technology is very noisy and al
so
has thousands of features, feature selection plays
an important role in removing irrelevant and redund
ant
features and also reducing computational complexity
. There are two important approaches for gene
selection in microarray data analysis, the filters
and the wrappers. To select a concise subset of inf
ormative
genes, we introduce a hybrid feature selection whic
h combines two approaches. The fact of the matter i
s
that candidate’s features are first selected from t
he original set via several effective filters. The
candidate
feature set is further refined by more accurate wra
ppers. Thus, we can take advantage of both the filt
ers
and wrappers. Experimental results based on 11 micr
oarray datasets show that our mechanism can be
effected with a smaller feature set. Moreover, thes
e feature subsets can be obtained in a reasonable t
ime