MAVERICK-VF142/Object_tracking_in_360_video

Video Analysis Report Generation

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#53 opened on Oct 9, 2024

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 (5 comments) (0 reactions) (1 assignee)Python (26 forks)auto 404
GSSoC-Extenhancementhacktoberfest

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Description

Video Analysis Report Generation Description: Automatically generate a report summarizing the tracking results, including statistics like time spent by objects in certain areas or frequency of appearances. Benefit: Provides users with comprehensive insights for analysis, useful for security assessments or sports analytics. This report can include various statistics such as:

Time Spent by Objects in Certain Areas: Calculate the duration each tracked object spends in predefined areas of interest within the video frame. Frequency of Appearances: Count how often each tracked object appears in the video. Path Visualization: Optionally visualize the paths taken by objects over time. Object Count Over Time: Provide a timeline of how many objects were present in the video.

Contributor guide

Research direction
Understand the tracking output format (e.g., bounding boxes, IDs, timestamps). Then design a report generation module that computes time spent in areas, frequency of appearances, object count over time, and optionally path visualization. Output the report as a PDF or HTML using libraries like matplotlib, reportlab, or weasyprint.
Tech stack
python
Domain
computer vision
Issue type
Feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
2
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
1-2 days
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Active
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Mostly clear
Prerequisites
Python
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
65