Dr Anuradha Bhatia

Abstract
To detect pedestrian or humans and any moving object is always a challenging task for any system due to the scope of variation of targets, light conditions, motion of the object. The histogram of oriented gradients (HOG) descriptor is one of the best and most popular descriptors used for pedestrian detection using Harr classifier. The HOG detector is a sliding window algorithm, which means that for any given image a window is moved across at all locations and scales and a descriptor… Show more

Abstract
To detect pedestrian or humans and any moving object is always a challenging task for any system due to the scope of variation of targets, light conditions, motion of the object. The histogram of oriented gradients (HOG) descriptor is one of the best and most popular descriptors used for pedestrian detection using Harr classifier. The HOG detector is a sliding window algorithm, which means that for any given image a window is moved across at all locations and scales and a descriptor is computed. The window is a pre trained classifier which is computed for the dataset for the descriptor. The classifier used is a linear SVM classifier and the descriptor is based on histograms of gradient orientations. Gradient orientations and magnitude are obtained for each pixel from the pre-processed image.
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The dataset is created and the hit threshold is created for the descriptor for 30 frames per second for the 1000 positive images. The capture window size is reduced to 320 by 240 to get the efficiency and speed which is the limitation of the HOG. The system uses HOG with the improvised trained dataset for human detection. The project is a prototype to be implemented for the vehicles with a camera and an alert sound system for the driver as soon as the pedestrian is detected.

A column oriented DBMS is a database management system that stores its content by
column rather than the row. This has advantages for data warehouses and library catalogs where aggregates are computed over large number of similar data items. Column stores are well suited for OLAP like workloads i.e warehouses which typically involve a smaller number of highly complex queries over all data mostly terabytes. Column data is of uniform type, there are… Show more

A column oriented DBMS is a database management system that stores its content by
column rather than the row. This has advantages for data warehouses and library catalogs where aggregates are computed over large number of similar data items. Column stores are well suited for OLAP like workloads i.e warehouses which typically involve a smaller number of highly complex queries over all data mostly terabytes. Column data is of uniform type, there are some opportunities for storage size optimizations available in column oriented data that are not available in row oriented data. This data base
differs from the traditional databases with regards to performance, storage requirements and
ease of modification of the schema. This new technology for high performance was introduced to data warehousing by Sybase. Show less