In most of the video analysis applications, object detection and tracking play vital role. Most algorithms fail to predict multiple objects with varying orientation. this paper, goal is identify track using different feature extraction methods like Locality Sensitive Histogram, Histogram Oriented Gradients Edges. These features are subjected train classifier that can detect orientations. Experi...

Multi-object tracking (MOT) is one of the significant directions computer vision. Though existing methods can solve simple tasks like pedestrian well, some complex downstream featuring uniform appearance and diverse motion remain difficult. Inspired by DETR, tracking-by-attention (TBA) method uses transformers to accomplish multi-object tasks. However, there are still issues with TBA within par...